米兜彩票官网Feed | Tractica Feed | Tractica http://tractica./ 米兜彩票网-06-07T07:45:53+00:00 WP RSS Aggregator http://tractica./artificial-intelligence/nvidias-ampere-will-merge-inference-and-training-workloads-in-the-data-center-and-cloud/ NVIDIA’s Ampere will merge inference and training workloads in the data center and cloud 米兜彩票网-05-29T12:32:26.v-06:00 At the GTC 米兜彩票网 Keynote, NVIDIA announced its latest compute platform for enterprises, Ampere. This platform is a giant step... More 米兜彩票appnvidias-ampere-will-merge-inference-and-training-workloads-in-the-data-center-and-cloud”9

At the , NVIDIA announced its latest compute platform for enterprises, Ampere. This platform is a giant step up from the previous generation, as detailed in NVIDIA’s . While the company achieved many impressive feats, a few chipset specs jump out and have the potential to disrupt the AI chipset market.

Performance boost largely for inference

The most drastic change is the increase in inference performance in the A100 chipset compared to the V100 chipset. The inference compute of the A100 at the 8-bit integer data (INT8) format has increased by 10x over the V100 to 624 TOPS via Tensor Core (Tensor Cores perform matrix multiply-accumulate calculations for a given data format). The V100 was not exactly optimized to run inference workloads. Although it offered impressive 116 Tensor FLOPS, its integer performance was 62 TOPS. Inference rarely uses floating-point data types in production and hence the V100 was restricted to primarily training workloads. The change from 62 TOPS to 624 TOPS is 10x. In comparison, the training performance of the A100 has seen a modest increase (although via a different data format) from 125 TFLOPS to 156 TFLOPS.

NVIDIA has created a separate, low cost product line for inference, with the T4 being the state of the art. Since the inference pipeline has more or less become standard at the INT8 format, the T4 was optimized for 8-bit inference with 120 TOPS INT8 performance.

Impact on cost per compute

The biggest difference between training and inference users is their willingness to pay for compute. While the training system budget comes from the R&D budget, inference systems fall under IT’s opex budget. The inference chipset user’s primary concern is the price per inference. If you consider the T4 list price of , the price of single INT8 compute comes to $23/TOPS (see table below). While the price for the A100 chipset has not been officially announced, assuming that it’s similar to the (~$12,000), the price per inference drops below that for the T4 to $19/TOPS.

米兜彩票app

Moving forward, NVIDIA’s A100 will stand out as a solution for inference. This chipset will be valuable to companies that are looking to maximize their resource utilization in the data center. If the resources are not utilized for training, companies can allocate them for inference. Cloud companies and hyperscalers in particular will relish this capability. The chipsets can be offered to a wider range of users to run both inference and training workloads, thereby maximizing their revenue potential. The virtualization software NVIDIA introduced with Ampere can facilitate this value even further.

The T4 will live on

This doesn’t mean that the T4 product line will end. It will most likely find 米兜彩票app in other products, particularly for edge inference. The compute requirements for inference workloads on the edge are on the rise, and the T4 will fill in that gap. The emergence of edge cloud and 5G will also facilitate the use of edge servers and workstations, providing opportunities for T4-like chipsets. Omdia expects that edge workloads will primarily be inference until suitable training frameworks and applications emerge. Once that happens, T4-like chipsets will also need floating-point data paths for training.

AI compute continues to scale

The AI chipset market is large, and the only constant in the AI world is change. We have seen rapid advances in the past three years, jumping from 10 TFLOPS (P100) to almost 1 PetaOPS (rated capacity for the A100 with sparse INT4). Demand for AI compute in the enterprise market is increasing, and many semiconductor product lines are emerging across the industry for different applications.

]]>
Anand Joshi http://tractica./feed/ 米兜彩票官网Blog
http://tractica./newsroom/press-releases/demand-for-enterprise-robots-drives-momentum-in-the-robotic-components-market-as-automation-and-artificial-intelligence-propel-revenue-to-126-3-billion-by-2025/ Demand for enterprise robots drives momentum in the robotic components market as automation and artificial intelligence propel revenue to $126.3 billion by 2025 米兜彩票网-05-27T17:02:30.v-06:00 The global robotics market is experiencing a strong growth trend in conjunction with the surge in automation, smart manufacturing, and... More The global robotics market is experiencing a strong growth trend in conjunction with the surge in automation, smart manufacturing, and e-commerce fulfillment especially in the enterprise and consumer segments. As a result, the market is experiencing significant demand for components ranging from robot arms to actuators, sensors, and controllers.

New opportunities are emerging as component companies develop solutions that provide greater capacity, speed, and dexterity to robots.  Non-industrial robot use cases are rapidly expanding due to technological advances that enable easier robot setup and advanced artificial intelligence (AI), deep learning, and machine vision that allow robots to take on more challenging tasks. According to Omdia senior analyst, Glenn Sanders, “Humanlike abilities of perception, object recognition, gripping and manipulating objects, and dual grippers present the potential to drive even greater demand in the coming years. Component providers are expanding their offerings and startups are entering the industry, making the market increasingly competitive and diverse.” Omdia expects the robotic components market to continue growing rapidly, reaching global revenue of $126.3bn by the end of 2025.

米兜彩票app

Omdia’s report, “Robotic Components”, examines the crucial market drivers, challenges, and industry applications related to robotic components, and assesses the most important technology issues that will influence market development. Omdia also profiles the top 31 industry players, including vendors of robot arms, end-of-arm tools (EoATs), actuators, sensors, vision systems, power systems, and controllers. Market forecasts, segmented by component category, industrial versus non-industrial, and geographic region, extend through 2025. An Executive Summary of the report is available for free download on the firm’s website.

]]>
sherrilhanson http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./artificial-intelligence/video-analytics-as-a-tool-in-the-fight-against-covid-19/ Video analytics as a tool in the fight against COVID-19 米兜彩票网-05-22T10:52:23.v-06:00 With the emergence of the coronavirus (COVID-19), the world has faced the unprecedented challenge of shutting down everything except for... More 米兜彩票appvideo-analytics-as-a-tool-in-the-fight-against-covid-19

With the emergence of the coronavirus (COVID-19), the world has faced the unprecedented challenge of shutting down everything except for essential services. Every country around the world has been forced to lock down. As a result, the economy is expected to suffer a contraction not seen since the Great Depression of the 1930s. Economists remain optimistic about a “V” shaped recovery, but debate around the impact of COVID-19 on the world’s population and definitions of the new “normal” continues.

Video analytics software, which deals with the extraction of information from video via computer vision, is emerging as a useful tool in the fight against COVID-19. It promises to bring a range of new use cases enabled by computer vision to help humanity get back to what used to be “normal.” Many video analytics companies have incorporated such features into their products. As the world economy starts to open in the post-COVID-19 era, some customers have started using video analytics products. We’ll likely see many enhancements being developed for these products as a result of COVID-19. Below are some examples:

  • Infrared (IR) sensors: , a thermal sensor company, has announced products for temperature measurement via IR sensors. These cameras can be used as body temperature screening tools for detecting elevated skin temperature in high traffic public places for quick individual screening. While the jury is still out about the accuracy of these sensors, we can easily imagine a scenario in which video analytics software in crowded places like airports or malls is enhanced by such features.
  • Facial recognition with mask: are mandating masks when flying due to COVID-19. The security systems that are based on facial recognition systems are therefore faced with the challenge of recognizing a person who is wearing a mask. Facial recognition video analytics companies such as are introducing features for recognizing people when they are wearing masks. The accuracy of such a system is questionable at this time, as no training data is available to recognize a person with a mask.
  • Social distancing warnings and alerts: As social distancing becomes the norm, features that generate alerts when people are or touch something they are not supposed to will come into play. They will be incorporated into video analytics software as a standard offering.
  • Personal protective equipment (PPE) detection and alerts: Along similar lines, safety-related video analytics software will be enhanced for PPE. For example, a video analytics system could be enhanced to generate an alert when a construction worker is spotted in the field without gloves or a mask.

The industry has moved at a rapid pace, and improved video analytics technology is already being deployed. For instance, there are reports that China米兜彩票网 used surveillance cameras to protect against the spread of COVID-19. IR cameras were used in Wuhan to register people with a fever and facial detection was used to identify people who might have potentially been exposed to COVID-19.

The accuracy of such features could remain an issue until good training data is collected and the models are trained. Nevertheless, video analytics will rapidly enable a wide range of use cases in humanity’s fight against COVID-19. Video analytics vendors stand to benefit in the short and long run, as demand will create new monetization opportunities. Those vendors that can provide the highest accuracy with their video analytics products will reap benefits in the long run.

]]>
Anand Joshi http://tractica./feed/ 米兜彩票官网Blog
http://tractica./newsroom/press-releases/deep-learning-drives-computer-vision-market-with-global-revenues-set-to-grow-to-33-5-billion-by-2025/ Deep learning drives computer vision market with global revenues set to grow to $33.5 billion by 2025 米兜彩票网-05-14T09:06:34.v-06:00 Computer vision (CV) is aiding numerous promising applications and revolutionizing the way people do things.  According to new research from... More Computer vision (CV) is aiding numerous promising applications and revolutionizing the way people do things.  According to new research from Omdia, the proof-of-concepts that started a few years ago are now going into production, with deployments across a wide range of applications.

Many businesses are realizing the value of vision and are starting to determine how to use CV technology for commercial benefit. Technology is evolving to address these needs. According to Omdia principal analyst Anand Joshi, “Deep Learning has become the technology of choice for computer vision applications replacing classic computer vision techniques. This, in turn, is driving the need for new chipsets and software for CV applications.”  Global CV market revenue is expected to grow from $2.9bn in 2018 to $33.5bn by 2025.

米兜彩票app

Omdia’s report, “.

]]>
sherrilhanson http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./newsroom/press-releases/artificial-intelligence-software-is-being-deployed-via-a-wide-range-of-business-models-with-annual-revenue-for-hybrid-solutions-reaching-43-1-billion-in-2025/ Artificial intelligence software is being deployed via a wide range of business models with annual revenue for hybrid solutions reaching $43.1 billion in 2025 米兜彩票网-05-14T08:45:26.v-06:00 Due to the collaborative and evolving nature of Artificial Intelligence (AI), several different business models are emerging, ranging from a... More Due to the collaborative and evolving nature of Artificial Intelligence (AI), several different business models are emerging, ranging from a fully in-house, custom-built approach to a more modular approach using pre-built solutions and tools. According to new research from Omdia, no single business model is going to be right for all enterprises looking to deploy AI and hybrid solutions will be most appealing as the market matures.

According to Omdia principal analyst, Keith Kirkpatrick, “The widespread availability of programming platforms and tools, as well as cloud-based infrastructure, has led to a major shift in the market. Enterprises do not need to lock into a single AI vendor; they can hire data science teams and engineers to develop, train, and run AI models from scratch. However, there is a significant portion of the enterprise market that has neither the skill nor the budget to develop AI from scratch.”  This dynamic has given rise to a plethora of vendors that sell pre-built AI solutions or tools, as well as consultants and contractors that can customize off-the-shelf AI. Omdia forecasts that annual AI software revenue will increase from $10.1bn worldwide in 2018 to $126.0bn in 2025. Hybrid solutions will account for 36% of global annual revenue in 2025, compared with cloud-based AI offerings (20%) and pre-built AI solutions (20%).

米兜彩票app

Omdia’s report, “Artificial Intelligence Business Models”, provides a quantitative assessment of the market opportunity for the different business models used to develop and deploy AI applications. The study includes analyses of six business models in use globally and within five global regions and 28 industries. An Executive Summary of the report is available for free download on the firm’s website.

]]>
sherrilhanson http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./newsroom/press-releases/artificial-intelligence-software-is-being-deployed-via-a-wide-range-of-business-models-with-annual-revenue-for-hybrid-solutions-reaching-45-5-billion-in-2025/ Artificial intelligence software is being deployed via a wide range of business models with annual revenue for hybrid solutions reaching $45.5 billion in 2025 米兜彩票网-05-14T08:45:26.v-06:00 Due to the collaborative and evolving nature of artificial intelligence (AI), several different business models are emerging, ranging from a... More Due to the collaborative and evolving nature of artificial intelligence (AI), several different business models are emerging, ranging from a fully in-house, custom-built approach to a more modular approach using pre-built solutions and tools. According to new research from Omdia, no single business model is going to be right for all enterprises looking to deploy AI and hybrid solutions will be most appealing as the market matures.

According to Omdia principal analyst, Keith Kirkpatrick, “The widespread availability of programming platforms and tools, as well as cloud-based infrastructure, has led to a major shift in the market. Enterprises do not need to lock into a single AI vendor; they can hire data science teams and engineers to develop, train, and run AI models from scratch. However, there is a significant portion of the enterprise market that has neither the skill nor the budget to develop AI from scratch.”  This dynamic has given rise to a plethora of vendors that sell pre-built AI solutions or tools, as well as consultants and contractors that can customize off-the-shelf AI. Omdia forecasts that annual AI software revenue will increase from $10.1bn worldwide in 2018 to $126.0bn in 2025. Hybrid solutions will account for 36% of global annual revenue in 2025, compared with cloud-based AI offerings (20%) and pre-built AI solutions (20%).

米兜彩票app

Omdia’s report, “Artificial Intelligence Business Models”, provides a quantitative assessment of the market opportunity for the different business models used to develop and deploy AI applications. The study includes analyses of six business models in use globally and within five global regions and 28 industries. An Executive Summary of the report is available for free download on the firm’s website.

]]>
sherrilhanson http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./newsroom/press-releases/omdia-ranks-top-ai-and-machine-learning-development-platform-providers/ Omdia ranks top AI and machine learning development platform providers 米兜彩票网-05-13T16:41:10.v-06:00 Omdia has named five leaders in its decision matrix for selecting vendors of artificial intelligence (AI) and machine-learning (ML) development... More Omdia has named five leaders in its decision matrix for selecting vendors of artificial intelligence (AI) and machine-learning (ML) development platforms, citing C3.ai, Dataiku, IBM, Microsoft and SAS as the most prominent suppliers.

These companies all offer a wealth of AI and ML capabilities that will be essential as enterprises engage in the digital transformation of their businesses.

“At the center of the digital transformation sweeping through most enterprises resides the latest breakthroughs in ML, a branch of artificial intelligence (AI),” said Bradley Shimmin, distinguished analyst, data management and analytics, at Omdia. “ML and its sub-branch of deep learning (DL) have left the research laboratory and are being applied in real-world applications. The high-tech internet giants have taken the lead in this field and many other enterprises are now looking to reap the same benefits.”

Development platforms catering to AI and ML workloads can automate large-scale tasks that manual efforts can’t cope with effectively or manage at all, creating new business opportunities as well as transforming existing business practices. Such platforms accelerate the creation of AI- and ML-driven business outcomes through pre-built software as well as augmented and automated development tasks. For this decision matrix, Omdia is focusing on vendors that offer enterprises a platform for AI and ML development, with solutions that typically manage the entire development-to-deployment lifecycle.

AI and machine learning development platform provider matrix

米兜彩票appai and ml winners.png

Looking at the leaders in ML

C3. The company offers a comprehensive AI platform using a flexible modular approach known as MDA. This enables an abstraction layer to exist where new components inherit the rich attributes of the layer, with pre-built connections to infrastructure, data sources, and other components. C3.ai can extend and evolve custom solutions in a speedy and reliable way and at scale. This approach makes it easier for ML developers and data scientists to focus their work on core functional requirements.

Dataiku. The company’s solution is designed for enterprises, enabling multiple teams with thousands of users to access the same platform. The platform is also designed for multiple roles: technical coders and non-coders, data scientists and business domain analysts. Self-service analytics capabilities in the platform help break siloed department walls and provide a single point for accessing data, integrating with legacy data sources across hybrid infrastructure and reducing the time wasted accessing data.

IBM. With its AI and ML portfolio, IBM offers a complete end-to-end build-deploy-validate-monitor-govern lifecycle for ML applications, suitable for use by a range of technical and business roles. To get the best value out of ML in production it is important to monitor for drift, test against bias and ensure fairness in results, for which IBM offers via Watson OpenScale. IBM has the best of open source ML algorithms available curated under the hood, including all the most popular frameworks, such as TensorFlow and PyTorch, which means updates are taken care of by IBM.

Microsoft. ML model creation is a complex task requiring skills that are scarce in the market, so enterprises are looking for tools to automate it. Microsoft’s Automated ML fulfills this task by releasing data scientists to focus on the data input and output and deploying the application. Azure Machine Learning automated ML service enables enterprises to scale out their use of ML.

SAS. With a long history as a statistician’s tool of choice, SAS was well-positioned to tackle the rise of ML the role of data scientist, putting the company into a central role within the enterprise, building on the strength of its platform.

]]>
sherrilhanson http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./robotics/autonomous-surface-vehicles-roaming-our-seas/ Autonomous surface vehicles roaming our seas 米兜彩票网-05-12T11:03:50.v-06:00 Autonomous surface vehicles (ASVs) are unmanned vessels that float on the surface of water and operate without a crew onboard.... More 米兜彩票appautonomous-surface-vehicles-roaming-our-seas

Autonomous surface vehicles (ASVs) are unmanned vessels that float on the surface of water and operate without a crew onboard. They can autonomously carry out a mission and can be monitored and controlled remotely if necessary.

This autonomous capability makes them very useful, less costly, safer, and more flexible than manned research vessels. The ability of ASVs to carry out a variety of tasks with little to no input from a pilot at sea, even under changing conditions, makes them immensely useful tools. They are much less resource-intensive and more flexible than the larger, fully manned research vessels.

A brief history of ASVs

As early as the end of World War II, unmanned surface vehicles were operated remotely to conduct minesweeping operations. One of the earliest actual ASVs was ARTEMIS, which was developed in 1993 as part of the MIT Sea Grant College Program. This scale replica of a fishing trawler collected hydrographic data in the Charles River in Boston, Massachusetts.

Since then, technology advances have enabled these ASVs to perform numerous tasks, including environmental and climate monitoring, passenger ferrying, commercial shipping, surveillance, inspection of bridges and other infrastructure, military operations, and seafloor mapping. Let’s take a look at some of the key use cases for ASV technology and a few of the noteworthy companies in this industry.

ASV technology

ASVs are often propelled by renewable energy such as solar, wind, and wave power, with rechargeable batteries as backup. These robots can cover thousands of miles and last for several months, traveling at speeds of around 3 to 8 knots. (One knot equals 1.15078mph or 1.852001kph.) Others use a hybrid propulsion system with a diesel motor to charge a 24V lithium battery that turns a propeller powered by an electric motor. The diesel runs only when it needs to charge the battery. This provides quiet, dependable, and powerful propulsion.

The vessels are outfitted with a suite of sensors for data collection, communications, position tracking, and navigation. These can range from high resolution cameras to fish trackers, sonar, lidar, or other imaging or specialized technologies. They often include the ability to recognize and avoid no-go areas, shoot flares, and return to 米兜彩票app.

Seafloor mapping

Boats and ships rely on charts for depth measurements so they can safely avoid sandbars and other underwater obstructions. This is usually performed with hydrographic survey technology from onboard ships and smaller boats. There is a global effort to map all of Earth’s seafloor by 2030 using ASVs as part of the .

ASVs can be used to measure depths in shallow waters and near piers and beaches that survey ships cannot reach. These ASVs can carry hydrographic surveying equipment and can use lidar in waters that are not too murky. Often, ASVs are launched from a larger survey vessel to multiply the amount of mapping that can be done and reduce time on location.

Surveys above and under water

Aquatic research institutes use ASVs to monitor and track marine life. Energy companies use hydrographic surveys in inland and coastal waters to search for resources. Defense systems are using ASVs to reinforce surveillance and reconnaisance along maritime borders. Oceanographers study meteorlogical data gathered from ASVs to analyze and understand the extent and effects of climate change.

Transportation

Commercial shipping companies are starting to use ASVs to transport high value goods across waterways. Rolls-Royce has developed an ASV to be an autonomous passenger ferry in Finland as part of an effort to develop autonomous ships that carry people and cargo without an onboard crew.

ASV companies

One of the most well-known companies in this industry is Florida-based , with 20 years of developing and selling remotely operated vehicles (ROVs) and ASVs for numerous applications and clients. Competitors include in Norway, in California, and the UK-based L3Harris subsidiary . All of these companies provide autonomous oceangoing vessels for maritime surveys and a range of other tasks.

ASVs and the future

As ASV technology and applications progress, these vessels will perform more tasks that will enhance our knowledge, awareness, and understanding of the maritime world. They will also expand our ability to move people and products efficiently, quickly, and safely. The advent of ASVs available for rent from companies like SeaRobotics is likely to expand their use significantly over the next decade. You can expect this exciting technology and market to grow steadily for the foreseeable future as the industry evolves and new use cases prove attractive to end users. One day, an ASV may bring your dinner to your yacht or ferry you safely across a busy maritime channel.

]]>
Glenn Sanders http://tractica./feed/ 米兜彩票官网Blog
http://tractica./artificial-intelligence/how-ai-helps-retail-during-the-pandemic/ How AI helps retail during the pandemic 米兜彩票网-04-21T14:35:53.v-06:00 The retail industry has been facing quickly evolving market pressures due to digitalization and technology advances. Today, the coronavirus disease... More 米兜彩票apphow-AI-helps-retail-during-the-pandemic

The retail industry has been facing quickly evolving market pressures due to digitalization and technology advances. Today, the coronavirus disease (COVID-19) pandemic is increasing the pressure retailers are facing to change how they do business. Can artificial intelligence (AI) help retail survive? The short answer is yes. As in many AI use cases across verticals, the pandemic simply magnifies the need for automation and more principled predictive analytics.

Omdia spoke with two AI vendor companies that were interviewed for our Artificial Intelligence for Retail Applications report to understand the interest and activity level for their solutions during the COVID-19 pandemic.

Stockout management & promotion compliance

One of the greatest challenges for physical retailers is knowing specifically and at all times what is on their shelves. Not knowing what is on the shelf leads to out-of-stock issues. Grocery stores the world over have experienced these challenges during the pandemic.

Solutions providers are using computer vision to create detailed, evergreen digital mapping of physical stores. The goal is to produce real-time stock and merchandising compliance actions, as well as recommendations to better manage stock further up the supply chain.

Pensa Systems is a startup that has taken direct aim at the stockout management & promotion compliance use case. To no surprise, the COVID-19 pandemic has increased interest in Pensa’s solutions, according to CEO Richard Schwartz:

Demand for many grocery and drugstore products has surged in uneven ways, changing every day and week during the crisis. The entire supply chain is struggling to keep up and to determine which products to pump through the supply chain to the right stores. Staples are being purchased in every food category in unpredicted ways. This situation is forcing more rapid control over inventory systems inaccuracy and techniques for better monitoring and prediction of demand and product availability. Our “eyes in the store” technology focused on on-shelf-availability helps to rapidly disseminate that view to the right people all along the supply chain.

Retailers and manufacturers are looking to move toward more real-time planning and prediction for shelf management. We are seen as part of that improvement. 

Autonomous stores

Santa Clara, California-based AiFi has launched what it is calling an autonomous store platform, giving retailers a flexible platform for launching anything from micro and nano stores to superstores. The platform leverages computer vision to fuel sales analytics, brand insights, workforce management, inventory management, shopper behavior analytics, and process optimization. Here is what spokesperson Liu Yang had to say about the pandemic’s impact:

The COVID-19 outbreak will accelerate trends that were already underway. SARS led to the birth of China米兜彩票网 e-commerce including Alibaba and JD.com. This time, it may lead to contactless services around the world, including the food delivery services and the autonomous stores, like AiFi’s AutoCheckout store … Our store in Shanghai has been operating during the COVID-19 outbreak. Retail store operators and food delivery workers are the lifelines in the outbreak. It is especially important to protect their health. Store operators of this Shanghai store shared feedback that they feel safe to work in a contactless autonomous store. 

To date, countries, cities, companies continue to improvise and decide on the fly how to cope with the rapidly changing situation, resulting in disjointed and inconsistent measures. In the longer term, technology will be a critical tool in the war against the unexpected. I believe there will be increasing investment in autonomous technology like ours, not only driven by retailers but also as part of strategic digital infrastructure to support community resilience and the sanitation of cities.

 

]]>
Mark Beccue http://tractica./feed/ 米兜彩票官网Blog
http://tractica./newsroom/press-releases/ai-enabled-retail-software-revenue-to-rise-nearly-eightfold-by-2025/ AI-enabled retail software revenue to rise nearly eightfold by 2025 米兜彩票网-04-04T13:16:56.v-06:00 With the global retail industry facing intensifying headwinds from online rivals and the virtual elimination of footfall traffic in the... More With the global retail industry facing intensifying headwinds from online rivals and the virtual elimination of footfall traffic in the wake of COVID-19, stores increasingly are turning to artificial intelligence (AI) software to enhance their efficiency, helping drive nearly an eightfold rise in sales of such software by 2025.

Worldwide spending on AI software for retail uses is forecasted to expand to $9.8 billion in 2025, up from $1.3 billion in 2019, according to the Artificial Intelligence for Retail Applications report from Omdia. Globally, retailers will invest $37.3 billion on AI-driven solutions from 2019 through 2025.

“Giant online sellers like Amazon, Alibaba and Walmart—along with hundreds of hungry startups—have built lean, analytics-driven organizations that leverage their scale and efficiency to drive revenue and reduce costs,” said Mark Beccue, principal analyst, at Omdia. “As a result, revenue and margins for brick-and-mortar retailers are under pressure as these more efficient and scalable online disruptors draw more buyers and sales with sharper pricing, personalized customer journeys and finely tuned product assortments. In response to this challenge, pioneering retailers are adopting AI-driven software solutions to improve the efficiency of customer service and consumer targeting.”

米兜彩票app

AI allows retailers to cash in on consumer opportunities

Retailers lose hundreds of billions of dollars every year through missed opportunities and excess costs. Increasingly, a broad range of solutions providers and pioneering retailers are launching AI-driven software with capabilities that enable retailers to identify and capitalize on such opportunities, including:

  • Leveraging a wealth of contextual personal data and predictive analytics to serve up personalized recommendations, promotions and marketing.
  • Improving search functionality through sharper meta-tagging and visual search.
  • Creating digital maps of in-store inventory to manage out-of-stock inventory, correct pricing, and label and promotion misplacements.
  • Applying predictive analytics and data science to significantly improve price optimization and demand forecasting/inventory management.

Among the different types of AI-enabled software, supply chain & inventory management is forecast to represent the largest retail use case spending between 2019 and 2025. Other major areas include e-commerce virtual digital assistants, video surveillance, image recognition and stockout management and promotion compliance.

Covid-19 and market drivers for AI retail software

Several key market drivers are spurring the growth of AI use cases in retail.

One major factor is brick-and-mortar retailers’ desire to perform more like pure-play online retailers. Furthermore, retailers that offer both physical and online shopping want to harmonize customer experience among the channels.

Retailers also would like to reduce the cost and improve the effectiveness of inventory management tasks such as demand forecasting, supply chain logistics and in-store stock assortment. Additionally, these retailers would like to personalize product recommendations, pricing, promotions, advertising, and customer service.

With retail stores across the globe opting to temporarily or indefinitely shut their doors to prevent the spread of the novel coronavirus and as they adjust to related supply chain disruptions – AI retail software becomes ever more important. Improving operational flexibility, in-store and for retailer online efforts, being particularly critical with the expectation of production delays and decreased sales due to the virus.

]]>
sherrilhanson http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./robotics/robot-senses-robots-that-can-see-hear-feel-and-more/ Robot senses: Robots that can see, hear, feel, and more 米兜彩票网-04-02T09:39:18.v-06:00 A robot with no way to sense its position or environment is simply an automaton that performs movements blindly. That... More 米兜彩票approbot-senses-robots-that-can-see-hear-feel-and-more

A robot with no way to sense its position or environment is simply an automaton that performs movements blindly. That is changing due to a trend toward adding vision, torque, and other sensors to robots to make them more aware of their surroundings. This is the result of companies seeking greater productivity, throughput, safety, and quality that is creating a surge in automation, smart manufacturing, and robotization. Let’s take a look at some of the technologies and key companies in this space.

Position sensors

One of the most rudimentary sensors for robots tells the position of each joint of a robot device. This provides feedback to the control system so it can calculate the movement of each joint of the arm and of the end-of-arm tool (EoAT) in 3D space. When combined with precise actuators and controllers, position sensors enable repeatability with extremely high accuracy. Advances in MEMS sensor technology like the have improved the precision of positioning by accurately sensing tilt, rotation, acceleration, shock, and vibration using inverse kinematics.

Torque sensors

Force/torque sensors give robots a sense of touch. They detect the amount of force being exerted to provide a level of awareness that keeps the robot, products, and EoAT safe. These sensors, like the , provide feedback that enables robots to perform a wider range of sensitive tasks with precise control. They also aid in the maintenance of robots by detecting wear in the joints and tooling.

Proximity sensors

Robots, especially collaborative robots (cobots), are able to work safely near humans and other robots if they can sense the close proximity of a person or object and react rapidly to stop movement. Researchers in South Korea have created that measures impedance. The sensor creates a wide-angle magnetic field and senses changes in that field to detect objects nearby. The sensors have been commercialized by and are in use on the Universal Robots UR10 model and the Neuromeka Indy 7.

Vision systems

Even with all of the sensors mentioned above, a robot is still working in the dark unless it has a vision system for visible light or other areas of the light spectrum. Visible light is good for pick & place tasks, inspection and quality checks, detecting the presence of an item for processing, sensing a nearby human or robot, assembling parts, precision farming, customer service, autonomous mowers and vacuums, and personal care robots. The uses Intel RealSense, which provides a sense of depth perception to allow robots to see and understand the world better.

Lidar sensors

Light detection and ranging sensors are becoming more popular as their capabilities increase and costs decrease. They are useful for mapping a 3D space around a robot and have become popular recently to help mobile robots that navigate autonomously. Velodyne, the company that invented 3D lidar, has released for applications from mobile warehouse robots to autonomous cars and drones. The new sensors have higher resolution for identifying objects and greater range for detecting objects farther away. This is especially useful for the new generation of autonomous cars and trucks that are starting to appear on our roads. Lidar sensors that are lightweight and low cost are becoming more popular for use in drones for mapping and creating 3D maps of vegetation, terrain, mining materials, and other applications.

A plethora of sensors

SICK AG, based in Germany, offers that include capacitive and magnetic proximity sensors, lidar, and vision systems, as well as sensors that detect distance, dust, fluids, gas, inertia, motor position and speed, and even traffic. Sensors from other companies include those to discern airflow, electric current, displacement, heat, time, humidity, infrared light, magnetism, position, pressure, proximity, and temperature.

Integrated sensor arrays

TDK InvenSense released its that includes an InvenSense Inertial Measuring Unit (IMU), a capacitive barometric pressure sensor, and a multimode digital microphone. The kit also includes Chirp Ultrasonic Time of Flight (ToF) sensors, a Micronas motor controller, an angle sensor, and pressure sensors.

The future of robot sensors

Expect to see more and varied sensors incorporated into robotic systems to give them better awareness of the world, as well as greater safety, productivity, and capabilities to perform an ever increasing array of tasks. As with most electronic systems, more sensors will combine into modules for various use cases to simplify the integration of sensor data, reduce costs, meet weight and power requirements, and improve ease of installation and maintenance. The future holds robots that will be safer and more aware, capable, and user friendly.

 

]]>
Glenn Sanders http://tractica./feed/ 米兜彩票官网Blog
http://tractica./newsroom/press-releases/global-smart-city-artificial-intelligence-software-revenue-set-to-rise-sevenfold-by-2025-spurred-by-advancing-ai-and-connectivity-technologies/ Global smart-city artificial intelligence software revenue set to rise sevenfold by 2025, spurred by advancing AI and connectivity technologies 米兜彩票网-03-18T08:57:39.v-06:00 The advent of 4G and 5G internet of things (IoT)-based connectivity is spurring the online migration of smart-city applications, helping... More The advent of 4G and 5G internet of things (IoT)-based connectivity is spurring the online migration of smart-city applications, helping generate a more than sevenfold increase in smart-city artificial intelligence (AI) software revenue by 2025.

The global smart-city AI software market is set to soar to $4.9 billion in 2025, up from $673.8 million in 2019, according to Omdia. Wireless data communications standards are enabling smart-city applications to move into the online realm, where they can capitalize on the latest AI innovations. The growing capabilities of AI are enabling data and insights collected through IoT networks to be monitored, analyzed and acted upon.
米兜彩票app

“From video surveillance, to traffic control, to street lighting, smart-city use cases of all types are defined by the collection, management and usage of data,” said Keith Kirkpatrick, principal analyst for AI at Omdia. “However, until recently, connecting disparate components and systems together to work in concert has been challenging due to the lack of connectivity solutions that are fast, cost effective, low latency and ubiquitous in coverage. These challenges now are being overcome by leveraging advances in AI and connectivity.”

The arrival of 4G and 5G wireless data technologies is making it easier to collect and manage data, promoting the migration of smart-city AI software to the online realm. AI allows data to be analyzed more deeply than ever before. The technology can identify patterns or anomalies within that data, which then can be employed for tasks that allow machines to mimic what humans might consider to be intelligence.

Using the power of AI, smart-city systems can create municipal systems and services that not only operate more efficiently, but also provide significant benefits to workers and visitors. These benefits can come in many forms, including reduced crime, cleaner air, more orderly traffic flow and more efficient government services, as detailed by the latest Omdia AI research report Artificial Intelligence Applications for Smart Cities.

Smart cities leverage AI for video surveillance
One example of how smart cities are leveraging AI is in the video surveillance realm.

When hosting public events, some cities are beginning to use video cameras that are mated to AI-based video analytics technology. The goal is to have AI algorithms scan the video and look for behavioral or situational anomalies that could indicate that a terrorist act or other outbreaks of violence may be about to occur.

However, cities are increasingly employing cloud-based AI systems that can search footage from most closed-circuit TV (CCTV) systems, allowing the platform and technology to be applied to existing camera infrastructure. Furthermore, video surveillance can be combined with AI-based object detection to perform tasks including learning patterns in an area; detecting faces, gender, heights and moods; reading license plates; and identifying anomalies or potential threats, such as unattended packages.

As the use of surveillance cameras has exploded, AI-based video analytics now represent the only way to extract value in the form of insights, patterns, and action from the plethora of video data generated by smart cities.

About Omdia
Omdia is a global technology research powerhouse, established following the merger of the research division of Informa Tech (Ovum, Heavy Reading and Tractica) and the acquired IHS Markit technology research portfolio*.

We combine the expertise of over 400 analysts across the entire technology spectrum, analyzing 150 markets publishing 3,000 research solutions, reaching over 14,000 subscribers, and covering thousands of technology, media & telecommunications companies.

Our exhaustive intelligence and deep technology expertise allow us to uncover actionable insights that help our customers connect the dots in today’s constantly evolving technology environment and empower them to improve their businesses – today and tomorrow.

Learn more about Omdia

###

Omdia is a registered trademark of Informa PLC and/or its affiliates. All other company and product names may be trademarks of their respective owners. Informa PLC registered in England & Wales with number 8860726, registered office and head office 5 Howick Place, London, SW1P 1WG, UK. 米兜彩票网 © 米兜彩票网 Omdia. All rights reserved.

*The majority of IHS Markit technology research products and solutions were acquired by Informa in August 2019 and are now part of Omdia.

]]>
sherrilhanson http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./artificial-intelligence/ai-might-help-curb-fake-news/ AI Might Help Curb Fake News 米兜彩票网-03-10T10:03:37.v-06:00 Fake news is nothing new. Various forms of propaganda and “yellow journalism?have been propagated for centuries, but social media... More 米兜彩票appai-might-help-curb-fake-news

Fake news is nothing new. Various forms of propaganda and “yellow journalism” have been propagated for centuries, but social media has essentially placed fake news on steroids.

2016 was a watermark year in fake news. For example, according to an article published in , some stunning statistics came to light: the study showed that 62% of U.S. adults get news on social media and that 41.8% of all visits to fake news sites in the U.S. came through social media links.

米兜彩票app

(Source: Journal of Economic Perspectives)

Via social media, fake news spreads easily and is hard to detect. The sheer scale of fake news detection makes it a costly human-only task. The profile of the problem – an overwhelming amount of data to analyze – would seem to fit into the type of problem artificial intelligence (AI) might be best suited to solve.

Can AI Combat Fake News?

The answer is … maybe. Nothing is commercialized. Bloomsbury AI was acquired by Facebook in 2018 and Fabula AI by Twitter in June 2019, yet neither social media platform has shown much progress in combating fake news with AI. Most of the innovation is still confined to academia. Here are a few examples of work going on:

  • At Massachusetts Institute of Technology (MIT), researchers (supported by Facebook AI Research) are using FEVER (Fact Extraction and Verification), a massive fact-checking database to identify fake news. But researchers are running into significant bias that impacts the tool’s effectiveness. An article in October 2019 illustrated some of the challenges:

FEVER has been used by machine learning researchers as a repository of true and false statements, matched with evidence from Wikipedia articles. However, the team’s analysis showed staggering bias in the dataset – bias that could cause errors in models it was trained on.

“Many of the statements created by human annotators contain giveaway phrases,” says lead author Tal Schuster. “For example, phrases like ‘did not’ and ‘yet to’ appear mostly in false statements.” One bad outcome is that models trained on FEVER viewed negated sentences as more likely to be false, regardless of whether they were actually true. 

“Adam Lambert does not publicly hide his homosexuality,” for instance, would likely be declared false by fact-checking AI, even though the statement is true, and can be inferred from the data the AI is given. The problem is that the model focuses on the language of the claim and doesn’t take external evidence into account.

Another problem of classifying a claim without considering any evidence is that the exact same statement could be true today but be considered false in the future. For example, until 2019 it was true to say that actress Olivia Colman had never won an Oscar. Today, this statement could be easily refuted by checking her IMDB profile. 

With that in mind, the team created a dataset that corrects some of this through de-biasing FEVER. Surprisingly, they found that the models performed poorly on their unbiased evaluation sets, with results dropping from 86 percent to 58 percent. 

  • resulted in a tool called FakeDetector that leverages deep learning to build a prediction model for scoring news items:

In FakeDetector, the fake news detection problem is formulated as a credibility score inference problem, and FakeDetector aims at learning a prediction model to infer the credibility labels of news articles, creators and subjects simultaneously. FakeDetector deploys a new hybrid feature learning unit (HFLU) for learning the explicit and latent feature representations of news articles, creators and subjects respectively, and introduce a novel deep diffusive network model with the gated diffusive unit for the heterogeneous information fusion within the social networks.

Other universities are using the open source code for FakeDetector, but as of this writing, there doesn’t seem to be any further advancement in the solution.

  • published by the University of Michigan and the University of Amsterdam envisions a combination of computational linguistics with fact-checking to combat fake news that (in theory) creates a more effective tool:

Computational linguistics can aide in the process of identifying fake news in an automated manner well above the chance level. The proposed linguistics-driven approach suggests that to differentiate between fake and genuine content it is worthwhile to look at the lexical, syntactic and semantic level of a news item in question. The developed system’s performance is comparable to that of humans in this task, with an accuracy up to 76%. Nevertheless, while linguistics features seem promising, we argue that future efforts on misinformation detection should not be limited to these and should also include meta features (e.g., number of links to and from an article, comments on the article), features from different modalities (e.g., the visual makeup of a website using computer vision approaches), and embrace the increasing potential of computational approaches to fact verification (Thorne et al., 2018). Thus, future work might want to explore how hybrid decision models consisting of both fact verification and data-driven machine learning judgments can be integrated.

Caution: Roadblocks Ahead

You can see just from these examples there are issues. Innovators have thought about the problem from various angles, only to run into roadblocks. One major issue that hasn’t been mentioned yet is how fake news content is created. There are several AI-driven solutions brewing that are getting pretty good at detecting automated text and deep fake images. But the problem is that a significant portion of fake news continues to be generated by humans, rendering these solutions ineffective.

Samuel Woolley, an assistant professor at the Moody School of Communications at the University of Texas-Austin, is the author of an upcoming book called the Reality Game. In an article from , Woolley discussed how he found that fake news was less AI-driven than commonly reported in the media:

All the evidence I’ve seen on Cambridge Analytica suggests the firm never launched the “psychographic” marketing tools it claimed to possess during the 2016 US election – though it said it could target individuals with specific messages based on personality profiles derived from its controversial Facebook database. 

When I was at the Oxford Internet Institute, meanwhile, we looked into how and whether Twitter bots were used during the Brexit debate. We found that while many were used to spread messages about the Leave campaign, the vast majority of the automated accounts were very simple. They were made to alter online conversation with bots that had been built simply to boost likes and follows, to spread links, to game trends, or to troll opposition. It was gamed by small groups of human users who understood the magic of memes and virality, of seeding conspiracies online and watching them grow. Conversations were blocked by basic bot-generated spam and noise, purposefully attached to particular hashtags in order to demobilize online conversations. Links to news articles that showed a politician in a particular light were hyped by fake or proxy accounts made to post and repost the same junk over and over and over. These campaigns were wielded quite bluntly: these bots were not designed to be functionally conversational. They did not harness AI. 

Fake News Detection: Who Should Be Responsible?

The logical assumption would be that social media platforms should be responsible for fake news detection that flows through their platforms. However, it seems that to date, the social giants have not really seen it that way. Woolley stated in the article that social media platforms look like they are willing to “passively identify potentially false information for users” but not much else yet:

Facebook, Google, and others like them employ people to find and take down content that contains violence or information from terrorist groups. They are much less zealous, however, in their efforts to get rid of disinformation. The plethora of different contexts in which false information flows online – everywhere from an election in India to a major sporting event in South Africa – makes it tricky for AI to operate on its own, absent human knowledge. But in the coming months and years it will take hordes of people across the world to effectively vet the massive amounts of content in the countless circumstances that will arise.

Fake News Detection: Market Opportunity?

It appears the social media platforms are not investing in this nascent market and most of the innovation remains in academia. Will disrupting startups begin to materialize? That probably depends on savvy businesspeople who determine who will pay for fake news detection. Will consumers be willing, perhaps along the lines of buying anti-virus software? Will innovators appear in app stores? Will fake news detection become the domain for web browsers or web search engines? It would make sense that Google might increasingly invest in fake news detection to gain traction within the social media world where it currently does not participate.

]]>
Mark Beccue http://tractica./feed/ 米兜彩票官网Blog
http://tractica./robotics/robots-and-drones-enter-the-coronavirus-battle/ Robots and Drones Enter the Coronavirus Battle 米兜彩票网-03-09T15:47:12.v-06:00 With embattled countries facing a health crisis of global proportions, thousands of robots and drones are being deployed in hospitals,... More 米兜彩票approbots-and-drones-enter-the-coronavirus-battle

With embattled countries facing a health crisis of global proportions, thousands of robots and drones are being deployed in hospitals, on the streets, and in airports around the globe to combat the spread of the SARS-CoV-2 virus that causes the COVID-19 illness. Healthcare professionals and businesses are finding innovative ways to use robots and drones to help patients and those in quarantine. Let’s explore some of the ways robots are being used to combat the coronavirus.

米兜彩票app

(Source: XAG)

Examining and Interacting with Patients

Health professionals are using telehealth technology to perform basic diagnostic functions and minimize person-to-person contact. At the Providence Regional Medical Center in Seattle, Washington, a quarantined man who tested positive for the coronavirus after returning from China米兜彩票网 was evaluated using a robot. The robot is guided remotely to examine the patient using a stethoscope so staff can evaluate and communicate with patients without exposing themselves to the virus.

Doctors and nurses are also using with thermometers and cameras to help them perform diagnoses from a safe distance. temi, from Shenzhen, China米兜彩票网-based Robotemi, is 3 feet (1 m) tall with a touchscreen, a built-in sound system, and an autonomous navigation that allows it to move around while avoiding obstacles. The company also added a tray to carry food and drink to patients under quarantine, and the small robot allows patients to communicate with loved ones. Similarly, the from InTouch Health has an HD screen and camera, which allows a doctor or a nurse to interact with a patient and examine them without having to come in contact with them.

米兜彩票app

(Source: Robotemi)

Delivering Medicine, Food, and Supplies

On city streets in China米兜彩票网, JD Logistics is delivering medicine to hospitals and food to people in quarantine with that operate autonomously and can navigate through traffic. The first delivery of supplies to the Wuhan Ninth Hospital took place earlier this month. Robots such as one named from Keenon Robotics are delivering food and medical supplies to quarantined people. Hospitals have been using robots for the last several years to perform autonomous deliveries of medicine, linens, supplies, and other items. One example is the from Pittsburgh, Pennsylvania-based Aethon that ferries medical supplies throughout hospitals and hotels. A hospital in southern China米兜彩票网 is using robots to deliver medicine and collect bedsheets and trash.

米兜彩票app

(Source: China米兜彩票网 Daily)

Disinfecting Surfaces

An army of disinfection robots is en route to hospitals in China米兜彩票网 to help combat COVID-19 on surfaces in hospitals. The shipment is from Denmark-based for Sunay Health Supply in China米兜彩票网. These self-driving robots autonomously kill viruses and bacteria with powerful concentrated UV-C light.

Honor Health hospitals in Scottsdale, Arizona are using similar robots to kill viruses in patient rooms and the ICU with UV light so powerful that people must leave the room during the 4-minute cycle. The robots are from , a San Antonio, Texas-based company that uses pulsed xenon UV-C light to clean rooms at facilities with suspected cases of the Wuhan coronavirus.

Los Angeles, California-based Dimer has offered one of its disinfecting machines to an airline at the Los Angeles International Airport for free to disinfect planes arriving from China米兜彩票网. The machine fits in the isle with wings that extend over the seats to deliver high doses of UV light to disinfect surfaces.

米兜彩票app

(Source: InTouch Health)

Using Drones for Remote Diagnosis, Delivery, and to Enforce Quarantine

Drones are being used to help perform diagnoses from a distance to detect people with fevers using thermal imaging technology. Some drones are being used to patrol streets to enforce quarantines. Others carry loudspeakers used to remotely give information and instructions to civilians and to direct people to go back inside their 米兜彩票apps.

Disinfecting Streets with Remote-Controlled Tanks

Unmanned drones and robot tanks from Shanxi Tianyi Technology have been seen on the streets of Taiyuan in northern China米兜彩票网. They are being directed by staff wearing hazmat suits to reportedly disinfect 50,000 square meters (538,195 square feet) in an hour. The tanks are sent twice a day into gated communities where there have been confirmed cases of COVID-19.

Cooking Fast Food for Medical Staff

Robots in Wuhan have been whipping out 36 meals every 15 minutes for medical workers battling the coronavirus outbreak there. Qianxi Robotic Catering, a subsidiary of , donated the culinary robots to provide meals for overworked healthcare staff. The robots can hygienically feed at least 120 people per hour, 24 hours a day.

Developing a Vaccine

Numerous drug companies around the world are scrambling to develop vaccines or treatments for the coronavirus, and robots could be useful to accelerate the development process. Lab robots are sometimes used to perform tedious tests, evaluate results, restock supplies, and carry out other repetitive tasks to relieve staff to focus on higher level research duties.

Stimulating Future Robot Sales

Across China米兜彩票网, hundreds of millions of workers are returning to factories to produce cars, electronics, and other products. One clear long-term impact of the coronavirus outbreak will likely be the increased use of robots and automation for manufacturing, logistics, and other industries to avoid shutdowns in the future. Omdia | Tractica expects this experience to further stimulate the growth of the robotics industry for the next 5 years at least.

]]>
Glenn Sanders http://tractica./feed/ 米兜彩票官网Blog
http://tractica./advanced-computing/honeywell-heats-up-the-quantum-computing-market/ Honeywell Heats Up the Quantum Computing Market 米兜彩票网-03-09T12:28:08.v-06:00 Honeywell International, perhaps best known as a manufacturer of thermostats, plans to offer cloud-based access to what it claims is... More 米兜彩票appHoneywell-heats-up-the-quantum-computing-market

Honeywell International, perhaps best known as a manufacturer of thermostats, plans to offer cloud-based access to what it claims is the world’s most powerful quantum computer, according to a benchmarking measure known as quantum volume. In early March, the company announced that access would be offered sometime within Q2 米兜彩票网.

As stated in a published March 3, 米兜彩票网 in the journal Nature, Honeywell has developed a quantum computer that uses quantum charge coupled device (QCCD) architecture. This architecture uses electromagnetic fields to so they can be manipulated with laser pulses. The company says that this approach to quantum computing results in more predictable errors than other qubit technologies that don’t use atoms directly.

Opportunities for Quantum Computing

The announcement is striking in several ways. First, Honeywell is far from a household name when it comes to quantum computing. But in an interview with Omdia | Tractica, Tony Uttley, president of Honeywell’s , explained that Honeywell sees opportunities for quantum computing to affect the industries in which the company operates. It wanted to directly participate in the technology development so it can leverage the knowledge and experience and apply it to Honeywell’s own businesses.

“People who [only] dream about quantum computers probably won’t be able to even use them,” Uttley said. He also noted that enterprises that aren’t actively working with quantum computing now won’t have the ability, infrastructure, business processes, or business models to take advantage of quantum computing once it reaches commercial viability.

A Different Approach: Quantum Volume

Second, quantum computing manufacturers have traditionally measured the power of their machines by noting the number of qubits used to carry out calculations. Honeywell has taken a different approach, compared with most quantum computing hardware developers, and has adopted IBM’s .

Quantum volume assesses a quantum computer’s overall performance by taking into account multiple factors, including coherence, calibration errors, crosstalk, spectator errors, gate fidelity, measurement fidelity, and initialization fidelity. It then distills a single number, which makes it easier to compare the performance and capability of disparate quantum systems.

According to Uttley, quantum volume addresses the capability of quantum computers, rather than simply counting qubits, which can be highly misleading. He used an example of auto enthusiasts talking about engine displacement size to discuss performance, rather than citing actual performance statistics, such as 0–60 mph times.

“For a long time, people would say, well, what is your engine displacement size,” Uttley explained. “And that became something that people would look at it and go, Oh, I have a bigger engine. But the next questions were, ‘does the car perform any better; does it go any faster?’”

“The things that people actually cared about would get lost in some metric that didn’t necessarily make sense,” Uttley said. “And that was starting to play out in quantum computing, by people reporting on the number of physical qubits. The problem with that [is] it gets really tough in a place like trapped ion where I can stick hundreds of qubits in there. It doesn’t add any value unless you can put the rest of the infrastructure around it to do these dynamic computations.”

Honeywell says that its forthcoming quantum computer (which is yet unnamed) will post a quantum volume figure of 64, which is significantly higher than the quantum volume figure of 32 that IBM has achieved with its own 53-qubit computer. And Uttley believes that the quantum volume metric better captures and represents the overall capability of a quantum computer.

“What quantum volume is intending to do, and what I believe we as Honeywell believe it is showing, is how much you can then go ‘drive’ with a quantum system that has that level of quantum volume,” Uttley said. It takes into account and measures critical features and benchmarks, including the level of connectivity between circuits, error rates, coherence times, and the ability to do mid-circuit measurements that will allow a quantum machine to interrogate specific qubits, assess their outcome, and then modify the rest of the computation based on those outputs.

Innovation and Commercialization Efforts

The third interesting aspect of the announcement provides the clearest example of how quantum advantage, quantum supremacy, and the eventual commercial use of quantum computing to solve real-world problems will be achieved. Honeywell, like many other companies, is investing in and working with a number of partners to help drive innovation and commercialization efforts.

Honeywell publicly began quantum computing activities in 2018 and partnered with Microsoft in 2019 as part of its stack. Its venture capital arm, , has invested in software vendors and . These companies provide a quantum development platform, as well as enterprise quantum applications that focus on chemistry, machine learning, cybersecurity, and optimization problems. Honeywell also says it will be working with to develop quantum algorithms that can be useful in the financial services sector.

Interested parties that want to access Honeywell’s quantum computer will be able to do so through Microsoft Azure Quantum as a service. Like most other companies in the space, it does not plan on selling hardware.

“We believe that the way to make progress in this near-term era is to be able to make the capabilities available to those people who can actually do algorithm development,” Uttley explained. “That is a small set of resources around the world. One of the scarcest resources that exists are people who know how to program quantum algorithms in a way that they can be run.”

 

]]>
Keith Kirkpatrick http://tractica./feed/ 米兜彩票官网Blog
http://tractica./artificial-intelligence/can-ai-create-art-no/ Can AI Create Art? No. 米兜彩票网-03-02T19:01:20.v-07:00 If art imitates life, can something inorganic like artificial intelligence (AI) create art? It’s a question that is increasingly being... More 米兜彩票appcan-ai-create-art-no

If art imitates life, can something inorganic like artificial intelligence (AI) create art?

It’s a question that is increasingly being explored.

In October 2018, became the first auction house to sell an art piece created by AI. Portrait of Edmond Belamy sold for $432,500. Created by the French art collective Obvious, the piece was the result of an AI that was fed a dataset of 15,000 portraits painted between the 14th and 20th centuries.

米兜彩票app

(Source: Obvious)

In February, ran a story about a song created by AI, complete with lyrics and music. Digital agency space150 trained a machine learning model on rapper Travis Scott’s music to create the song. The track “features heavily auto-tuned nonsense rhymes like ‘I know you talkin’ trippy on my blade/I just want your first name.’” The agency didn’t create the piece for any particular client; space150 said it just wanted to experiment with the boundaries of AI in creative capacities and how it might fit into branding in the future.

米兜彩票app

(Source: Adweek)

Are we poised for a future where AI is the artist? Will AI create original artwork, music, literature, films, plays, and the like?

The answer is a solid no. The reason for my certainty is because of a fundamental truth about AI capabilities: AI cannot create something that doesn’t already exist; only humans can do that.

In a previous post, “Outsmarting AI for Jobs,” I talked about why humans and AI are fundamentally different. Humans are capable of both linear and non-linear thinking, while AI is good at linear thinking and pretty lousy at non-linear thinking. Non-linear thinking is one of the key building blocks of originality. At its essence, originality is the ability to relate nonrelated concepts or things to each other. The strength of AI is how it can analyze massive amounts of data to draw conclusions. AI is good at analysis and prediction. To accomplish analysis and prediction, AI must always reference something that already exists, and it cannot draw lines between things that are not related. This means it can’t produce something original and unique. On the other hand, true art is by definition, original.

Art Is Original – AI Isn’t

Consider a few examples of the original nature of art.

In 1957, Miles Davis was asked by director Louis Malle to create the soundtrack for his film, Ascenseur pour l’echafaud. Davis recorded it without any preparation, instead improvising as he watched a screening of the film. He said this about improvisation: “If you’ve got some great musicians, they will deal with the situation and play beyond what is there and above where they think they can.” Watch this incredible clip from of Davis playing to the film.

米兜彩票app

(Source: WGBH)

In 1965, James Brown single-handedly created a new music genre: funk. Funk came to be because Brown fundamentally changed the roles for instruments and vocals. In another American Masters portrait, James Brown: Soul Survivor, :

“The immaculate rhythmic tension of ‘Papa’s Got a Brand-New Bag’ ushered in a new style of music – funk. Throughout the 1960s and into the early 1970s, James Brown increasingly abandoned melody and harmony, focusing on the rhythm in songs like ‘Cold Sweat’, ‘I Got the Feelin’, and ‘Give It Up or Turnit a Loose’. Brown admitted, ‘I was hearing everything, even the guitars, like they were drums.’”   

Listen as every instrument pounds out the rhythm on .

米兜彩票app

(Source: Barrie Wentzell)

My son showed a talent for art from an early age. I have told him that I was interested in art as a teen, but through 5 years of art class, I had no original thought; I only painted and drew pictures from photos. He, on the other hand, can create art from pictures inside his head. My watercolor is on the left, his pen drawing is on the right. He was 7 years old.

米兜彩票app米兜彩票app

 

 

 

 

 

 

 

 

 


(Source: Mark Beccue)

In the Christie’s article, misgivings about AI’s shortfall in originality surfaced as well:

“… if you define art more broadly as an attempt to say something about the wider world, to express one’s own sensibilities and anxieties and feelings, then AI art must fall short, because no machine mind can have that urge and perhaps never will.”

One art expert hit on what will most likely be the path for AI in art – collaboration. What happens when you mix the skills of humans with AI?

“If you consider the whole process, then what you have is something more like conceptual art than traditional painting. There is a human in the loop, asking questions, and the machine is giving answers. That whole thing is the art, not just the picture that comes out at the end. You could say that at this point it is a collaboration between two artists one human, one a machine. And that leads me to think about the future in which AI will become a new medium for art.”

In art, AI will not go it alone. The bits that do will be novelties. If AI is used too much in art, we run the risk of losing what makes human unique – original thought. The best path, then, is that AI will be a tool to be wielded by creatives to augment what they want to do and where they want to go.

]]>
Mark Beccue http://tractica./feed/ 米兜彩票官网Blog
http://tractica./artificial-intelligence/fighting-the-spread-of-coronavirus-with-artificial-intelligence/ Fighting the Spread of Coronavirus with Artificial Intelligence 米兜彩票网-02-28T08:14:41.v-07:00 As of late February 米兜彩票网, there have been more than 80,000 reported cases of coronavirus infections around the globe. While... More 米兜彩票appfighint-the-spread-of-coronavirus-with-artificial-intelligence

As of late February 米兜彩票网, there have been more than 80,000 reported cases of coronavirus infections around the globe. While the spread of the virus may have been inevitable, modern technology has certainly added to the challenge. For example, inexpensive air, vehicle, and rail travel has allowed infected people to spread the virus far beyond its genesis in Wuhan, China米兜彩票网. The use of social media is allowing unfounded rumors around the cause, prevention techniques, and likely impact of the virus to flourish. And even the traditional news media’s 24/7 coverage of the virus is, in some cases, adding to the hysteria surrounding the outbreak.

However, artificial intelligence (AI) technology, in particular, is being used to aid governments, researchers, and health organizations that wish to contain the spread of the virus. From early warning and detection algorithms to big data-based analyses of patient travel histories and the eventual creation and development of a coronavirus vaccine, AI likely will be a key enabling technology.

Detecting and Tracking the Virus

For example, reports surfaced that , a Canada-based health monitoring platform, had actually identified and pinpointed the outbreak of coronavirus on December 31, 5 days prior to the official warning from the U.S. Centers for Disease Control and Prevention. BlueDot’s algorithm uses natural language processing (NLP) and machine learning (ML) techniques to analyze news reports in 65 languages, along with airline flight data and reports of animal disease outbreaks. By sifting through these reports, the system was able to identify where and when infected residents were likely to travel, and it correctly predicted that the virus would jump from Wuhan to Bangkok, Seoul, Taipei, and Tokyo.

AI is also being deployed to help screen travelers for potential coronavirus exposure. The Malaysian e-government services firm , along with Chinese travel firm Phoenix Travel Worldwide, is deploying an AI-based coronavirus risk profiling solution that will be used on Chinese visitors to Malaysia and the Philippines. This solution is capable of incorporating historical geolocation and anomaly tracking. The ML algorithm is powered by a number of data points (previous known locations, heart rate, blood pressure, etc.) that can be cross-referenced with public transport ridership, as well as exposure to locations where there have been instances of infections, to determine whether they may have been exposed to or are at risk of having the coronavirus.

Developing a Treatment Plan

Beyond tracking the virus, AI is being used to help develop a vaccine or cure. Insilico Medicine is a Rockville, Maryland-based company that is developing technology designed to inform doctors about molecules capable of fighting against the coronavirus. The technology uses ML to analyze the properties of specific molecules and how they may interact with the virus, and it is designed to provide feedback on those suited to counter the coronavirus.

Enabling Communications and Coordinated Responses: Smart Cities

Smart cities are also expected to be active in using AI to address not only the coronavirus outbreak, but also future pandemics or emergencies. The development of faster and more robust communications networks, such as 5G, is integral to the deployment and use of technology that can be used to monitor and treat virus outbreaks. Examples include active monitoring of and communications among patients that are being held under quarantine, as well as tracking the movement of people within the city or around the globe. AI can also be used to predict where demand for emergency teams are needed, and then automatically coordinate a response, taking into account labor schedules, material stockpiles, and expertise.

These types of coordinated responses are being enabled by the increasing use of AI within smart cities. While many of the technologies are in testing or limited deployment now, the successes of AI technology being used to track the coronavirus may help city governments underscore the demand for AI-driven systems. Such systems can often respond to situations more quickly and efficiently than solutions that solely rely on humans.

Omdia|Tractica discusses these issues in our report, which provides a quantitative assessment of the market opportunity for smart city AI applications. The study includes analyses of 23 AI use cases distributed across six industry sectors: governance, safety & security, mobility & transportation, energy & resource management, infrastructure management, and healthcare.

]]>
Keith Kirkpatrick http://tractica./feed/ 米兜彩票官网Blog
http://tractica./robotics/get-a-grip-gently-soft-robot-grippers-get-a-funding-boost/ Get a Grip ?Gently: Soft Robot Grippers Get a Funding Boost 米兜彩票网-02-06T11:17:08.v-07:00 When a robot needs to grab a soft item or items of irregular size and shape, traditional rigid robot grippers... More 米兜彩票appget-a-grip-gently-soft-robot-grippers-get-a-funding-boost

When a robot needs to grab a soft item or items of irregular size and shape, traditional rigid robot grippers are often overkill or don’t work well. They have difficulty grasping delicate or odd-shaped items without crushing or dropping them. With the advent of e-commerce, smart manufacturing, flexible production lines, food & beverage automation, and collaborative robots (cobots), the need for new types of grippers is growing dramatically.

米兜彩票app

(Source: Soft Robotics)

Many of these new use cases require grippers that can grasp soft materials, delicate objects, food, and items in plastic packages, as well as rigid objects that vary in contour, size, or orientation. This has led to the development of an innovative generation of pneumatic grippers with soft fingers. Soft grippers now have new applications that can adapt to multiple products without retraining and control software that is easy to use.

The leading company in this space is Soft Robotics (SR), which designs and builds robotic gripping systems and automation solutions. SR’s pneumatic grippers feature soft jaws that adapt to the shape of an object. The SR mGrip technology features modular grippers that can be reconfigured to have different arrangements, including dual fingers, circular grippers, and parallel grippers.

SR’s SuperPick solution is a combination of a robot arm, mGrip gripper, vision system, AI engine, and control system that work together to provide robot fulfillment solutions for bin picking, sorting, and goods. The company says that SuperPick can be set up in one day and is robot agnostic, meaning it can work with many robots. SuperPicks are designed to be easily added to any robot or cobot on the market, including those from Universal Robots, Yaskawa, and FANUC.

米兜彩票app

(Source: FANUC) 

SR software lets the operator precisely calibrate the grip strength and the gripper opening size, with four preset slots for various types of products. The company targets three major industries: food & beverage, advanced manufacturing, and e-commerce & retail. Its SuperPick solution solves previously difficult automation challenges and opens new opportunities for robot and cobot makers.

SR recently announced a standalone pneumatic source for its grippers that runs on the robot arm’s power. This eliminates the need for an external air compressor and the accompanying hose tethered to it. It is now easier for companies to add mGrip without major changes or extra equipment.

FANUC Partnership

SR has been working with FANUC since 2017 to develop modular solutions based on the SR mGrip system and FANUC robots and cobots. In December 2019, SR designed to “accelerate adoption of critical automation needs across industries.”

Systems integrators can now buy SR grippers directly from FANUC. FANUC integrators and owners can install them as a plug-and-play add-on. SR designed the FANUC solution to make sure mGrip is easily deployable and programmable.

米兜彩票app

(Source: Soft Robotics)

The company developed a control system specifically for FANUC robots that can be installed on any FANUC robot. One of the world’s first modular soft robotic gripper systems, mGrip can be paired with a new controller called the Mini-P. This controller is designed specifically for easy integration with FANUC robots via the FANUC teach pendant, which enables the system to get up and running quickly.

Healthy Growth: Other Partnerships and Series B Funding

The FANUC partnership is non-exclusive, and SR is actively working with other major players to develop modular plug-and-play mGrip systems. In addition to FANUC, SR currently offers a plug-and-play version of its mGrip for Universal Robots and Yaskawa.

In another sign of healthy growth, SR closed its Series B round of funding in January 米兜彩票网. It raised $23 million, led by Calibrate Ventures and Material Impact. This round also included participation from Honeywell, Yamaha, Hyperplane, and FANUC. The Massachusetts-based company has raised $48 million to date, reports estimated annual revenue of more than $1 million, and employs more than 50 people.

What Does This Mean for the Future of Soft Robotic Grippers?

These partnerships and the healthy funding round for SR will definitely catch the attention of other investors and gripper companies. Expect to see more investment in this area to feed demand from food & beverage, advanced manufacturing, and e-commerce & retail for a new generation of grippers that can handle even the most delicate job with dexterity.

 

]]>
Glenn Sanders http://tractica./feed/ 米兜彩票官网Blog
http://tractica./artificial-intelligence/at-ces-米兜彩票网-ai-hype-cycle-at-maximum-but-dismiss-at-your-own-risk/ At CES 米兜彩票网, AI Hype Cycle at Maximum, but Dismiss at Your Own Risk 米兜彩票网-01-31T09:41:53.v-07:00 It was quite easy to walk away from Consumer Electronics Show (CES) 米兜彩票网 feeling disappointed with the AI capabilities showcased,... More 米兜彩票approbotic-components-the-building-blocks-of-robotic-life

It was quite easy to walk away from Consumer Electronics Show (CES) 米兜彩票网 feeling disappointed with the AI capabilities showcased, though the technology was omnipresent at the show. There were plenty of robots, ranging from Samsung’s Ballie to dishwasher and barista robots, as well as smart TVs and healthcare and fitness devices – all highlighting the use of AI. However, the ubiquitous presence of AI across the show in some sense made the technology lose its meaning, as most of the exhibits were repetitions from previous years or “half-baked” concepts.

At the same time, without advances in deep learning, we wouldn’t have Amazon Alexa or Google 米兜彩票官网, the two breakout products that have dominated CES for the past few years. Deep learning enables machines to parse human voice/speech and provide intelligent responses. Similarly, deep learning techniques also enable cameras to detect objects, weeds, faces, people, lane markings, or stop signs. Vision and language understanding have troubled researchers and engineers for many decades, and today’s AI capabilities are truly remarkable in that context.

However, we have only scratched the surface with AI. While vision AI has garnered a lot of attention lately, look for breakthroughs in AI for language and audio processing. AI use cases and products have some maturing to do in the business-to-consumer (B2C) sector, but business-to-business (B2B) sectors like retail are expected to break away and scale adoption. Also, new markets like synthetic content are around the corner thanks to generative AI models, giving rise to new entrants and pioneering business models.

AI Software Revenue Share by Meta Category, World Markets: 2025

米兜彩票app

Source: Tractica, Artificial Intelligence Market Forecasts, 4Q 2019

Major AI Themes: Progress

The major AI themes at CES 米兜彩票网 illustrated progress:

  • Enterprise AI is gaining ground on the back of consumer AI: Continuing with last year’s trend, companies like John Deere increased their presence at the CES, showcasing their AI capabilities. provided a comprehensive view of its AI-infused weed sprayer that is powered by the expanding data strategy built around imaging and tagging agricultural data, including crops, insect, and weeds. In the same light, , , and highlighted their enterprise AI push across retail, construction, and the manufacturing sector.

米兜彩票app

Sources: Tractica, CES 米兜彩票网

  • Retailers are expected to infuse AI across the frontend and backend: Shopper analytics is the ability to use cameras to track and analyze shopper behavior in-store to optimize product placement and store layout, enhance personalized shopper experiences, and prevent shoplifting. In-store shopper analytics was frequently mentioned as one of the most desired enterprise AI use cases in Tractica’s conversations with AI vendors. Similarly, smart mirror technology for clothes fitting, makeup, and hairstyling was a common theme across several exhibitors.

米兜彩票app              米兜彩票app

Sources: Tractica, CES 米兜彩票网

  • AI for audio processing and acoustics is the next frontier: Directional audio processing and filtering technology has made breakthroughs using AI, allowing for devices like Alexa and Google 米兜彩票官网 to pick up audio commands in noisy households. The same AI acoustics technology is now showing up in many other applications like smart hearing aids, as well as in manufacturing, automotive, construction, HVAC, and many others. In fact, .

米兜彩票app

Sources: Tractica, CES 米兜彩票网

  • Synthetic content marketplace could shake up multiple industries: Generative AI is a branch of techniques used to artificially generate images, audio, voice, or any other data. Companies like are providing AI-generated voices for news organizations, while provides synthetic data for building any AI application, from robots, drones, and virtual and augmented reality (VR/AR) to autonomous cars. aims to provide virtual synthetic humans, complete with a brain and emotional capabilities in life-size avatars. However, deepfakes represent a worrying outcome of generative AI. While the technology is still in its early stages, it could completely transform media & entertainment, gaming, and the AI data life cycle itself.

米兜彩票app

Sources: Tractica, CES 米兜彩票网

]]>
Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog
http://tractica./artificial-intelligence/at-ces-米兜彩票网-ai-hype-cycle-at-maximum-but-dismiss-at-your-own-risk/ At CES 米兜彩票网, AI Hype Cycle at Maximum, but Dismiss at Your Own Risk 米兜彩票网-01-31T09:41:53.v-07:00 It was quite easy to walk away from Consumer Electronics Show (CES) 米兜彩票网 feeling disappointed with the AI capabilities showcased, though the technology was omnipresent at the show. There were plenty of robots, ranging from Samsung’s Ballie to dishwasher and barista robots, as well as smart TVs and healthcare and fitness devices ?all highlighting […] 米兜彩票approbotic-components-the-building-blocks-of-robotic-life

It was quite easy to walk away from Consumer Electronics Show (CES) 米兜彩票网 feeling disappointed with the AI capabilities showcased, though the technology was omnipresent at the show. There were plenty of robots, ranging from Samsung’s Ballie to dishwasher and barista robots, as well as smart TVs and healthcare and fitness devices – all highlighting the use of AI. However, the ubiquitous presence of AI across the show in some sense made the technology lose its meaning, as most of the exhibits were repetitions from previous years or “half-baked” concepts.

At the same time, without advances in deep learning, we wouldn’t have Amazon Alexa or Google 米兜彩票官网, the two breakout products that have dominated CES for the past few years. Deep learning enables machines to parse human voice/speech and provide intelligent responses. Similarly, deep learning techniques also enable cameras to detect objects, weeds, faces, people, lane markings, or stop signs. Vision and language understanding have troubled researchers and engineers for many decades, and today’s AI capabilities are truly remarkable in that context.

However, we have only scratched the surface with AI. While vision AI has garnered a lot of attention lately, look for breakthroughs in AI for language and audio processing. AI use cases and products have some maturing to do in the business-to-consumer (B2C) sector, but business-to-business (B2B) sectors like retail are expected to break away and scale adoption. Also, new markets like synthetic content are around the corner thanks to generative AI models, giving rise to new entrants and pioneering business models.

AI Software Revenue Share by Meta Category, World Markets: 2025

米兜彩票app

Source: Tractica, Artificial Intelligence Market Forecasts, 4Q 2019

Major AI Themes: Progress

The major AI themes at CES 米兜彩票网 illustrated progress:

  • Enterprise AI is gaining ground on the back of consumer AI: Continuing with last year’s trend, companies like John Deere increased their presence at the CES, showcasing their AI capabilities. provided a comprehensive view of its AI-infused weed sprayer that is powered by the expanding data strategy built around imaging and tagging agricultural data, including crops, insect, and weeds. In the same light, , , and highlighted their enterprise AI push across retail, construction, and the manufacturing sector.

米兜彩票app

Sources: Tractica, CES 米兜彩票网

  • Retailers are expected to infuse AI across the frontend and backend: Shopper analytics is the ability to use cameras to track and analyze shopper behavior in-store to optimize product placement and store layout, enhance personalized shopper experiences, and prevent shoplifting. In-store shopper analytics was frequently mentioned as one of the most desired enterprise AI use cases in Tractica’s conversations with AI vendors. Similarly, smart mirror technology for clothes fitting, makeup, and hairstyling was a common theme across several exhibitors.

米兜彩票app              米兜彩票app

Sources: Tractica, CES 米兜彩票网

  • AI for audio processing and acoustics is the next frontier: Directional audio processing and filtering technology has made breakthroughs using AI, allowing for devices like Alexa and Google 米兜彩票官网 to pick up audio commands in noisy households. The same AI acoustics technology is now showing up in many other applications like smart hearing aids, as well as in manufacturing, automotive, construction, HVAC, and many others. In fact, .

米兜彩票app

Sources: Tractica, CES 米兜彩票网

  • Synthetic content marketplace could shake up multiple industries: Generative AI is a branch of techniques used to artificially generate images, audio, voice, or any other data. Companies like are providing AI-generated voices for news organizations, while provides synthetic data for building any AI application, from robots, drones, and virtual and augmented reality (VR/AR) to autonomous cars. aims to provide virtual synthetic humans, complete with a brain and emotional capabilities in life-size avatars. However, deepfakes represent a worrying outcome of generative AI. While the technology is still in its early stages, it could completely transform media & entertainment, gaming, and the AI data life cycle itself.

米兜彩票app

Sources: Tractica, CES 米兜彩票网

]]>
Aditya Kaul http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./artificial-intelligence/at-ces-米兜彩票网-ai-hype-cycle-at-maximum-but-dismiss-at-your-own-risk/ At CES 米兜彩票网, AI Hype Cycle at Maximum, but Dismiss at Your Own Risk 米兜彩票网-01-31T09:41:53.v-07:00 It was quite easy to walk away from Consumer Electronics Show (CES) 米兜彩票网 feeling disappointed with the AI capabilities showcased, though the technology was omnipresent at the show. There were plenty of robots, ranging from Samsung’s Ballie to dishwasher and barista robots, as well as smart TVs and healthcare and fitness devices ?all highlighting […] 米兜彩票approbotic-components-the-building-blocks-of-robotic-life

It was quite easy to walk away from Consumer Electronics Show (CES) 米兜彩票网 feeling disappointed with the AI capabilities showcased, though the technology was omnipresent at the show. There were plenty of robots, ranging from Samsung’s Ballie to dishwasher and barista robots, as well as smart TVs and healthcare and fitness devices – all highlighting the use of AI. However, the ubiquitous presence of AI across the show in some sense made the technology lose its meaning, as most of the exhibits were repetitions from previous years or “half-baked” concepts.

At the same time, without advances in deep learning, we wouldn’t have Amazon Alexa or Google 米兜彩票官网, the two breakout products that have dominated CES for the past few years. Deep learning enables machines to parse human voice/speech and provide intelligent responses. Similarly, deep learning techniques also enable cameras to detect objects, weeds, faces, people, lane markings, or stop signs. Vision and language understanding have troubled researchers and engineers for many decades, and today’s AI capabilities are truly remarkable in that context.

However, we have only scratched the surface with AI. While vision AI has garnered a lot of attention lately, look for breakthroughs in AI for language and audio processing. AI use cases and products have some maturing to do in the business-to-consumer (B2C) sector, but business-to-business (B2B) sectors like retail are expected to break away and scale adoption. Also, new markets like synthetic content are around the corner thanks to generative AI models, giving rise to new entrants and pioneering business models.

AI Software Revenue Share by Meta Category, World Markets: 2025

米兜彩票app

Source: Tractica, Artificial Intelligence Market Forecasts, 4Q 2019

Major AI Themes: Progress

The major AI themes at CES 米兜彩票网 illustrated progress:

  • Enterprise AI is gaining ground on the back of consumer AI: Continuing with last year’s trend, companies like John Deere increased their presence at the CES, showcasing their AI capabilities. provided a comprehensive view of its AI-infused weed sprayer that is powered by the expanding data strategy built around imaging and tagging agricultural data, including crops, insect, and weeds. In the same light, , , and highlighted their enterprise AI push across retail, construction, and the manufacturing sector.

米兜彩票app

Sources: Tractica, CES 米兜彩票网

  • Retailers are expected to infuse AI across the frontend and backend: Shopper analytics is the ability to use cameras to track and analyze shopper behavior in-store to optimize product placement and store layout, enhance personalized shopper experiences, and prevent shoplifting. In-store shopper analytics was frequently mentioned as one of the most desired enterprise AI use cases in Tractica’s conversations with AI vendors. Similarly, smart mirror technology for clothes fitting, makeup, and hairstyling was a common theme across several exhibitors.

米兜彩票app              米兜彩票app

Sources: Tractica, CES 米兜彩票网

  • AI for audio processing and acoustics is the next frontier: Directional audio processing and filtering technology has made breakthroughs using AI, allowing for devices like Alexa and Google 米兜彩票官网 to pick up audio commands in noisy households. The same AI acoustics technology is now showing up in many other applications like smart hearing aids, as well as in manufacturing, automotive, construction, HVAC, and many others. In fact, .

米兜彩票app

Sources: Tractica, CES 米兜彩票网

  • Synthetic content marketplace could shake up multiple industries: Generative AI is a branch of techniques used to artificially generate images, audio, voice, or any other data. Companies like are providing AI-generated voices for news organizations, while provides synthetic data for building any AI application, from robots, drones, and virtual and augmented reality (VR/AR) to autonomous cars. aims to provide virtual synthetic humans, complete with a brain and emotional capabilities in life-size avatars. However, deepfakes represent a worrying outcome of generative AI. While the technology is still in its early stages, it could completely transform media & entertainment, gaming, and the AI data life cycle itself.

米兜彩票app

Sources: Tractica, CES 米兜彩票网

]]>
Aditya Kaul http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./artificial-intelligence/at-ces-米兜彩票网-ai-hype-cycle-at-maximum-but-dismiss-at-your-own-risk/ At CES 米兜彩票网, AI Hype Cycle at Maximum, but Dismiss at Your Own Risk 米兜彩票网-01-31T09:41:53.v-07:00 It was quite easy to walk away from Consumer Electronics Show (CES) 米兜彩票网 feeling disappointed with the AI capabilities showcased, though the technology was omnipresent at the show. There were plenty of robots, ranging from Samsung’s Ballie to dishwasher and barista robots, as well as smart TVs and healthcare and fitness devices ?all highlighting […] 米兜彩票approbotic-components-the-building-blocks-of-robotic-life

It was quite easy to walk away from Consumer Electronics Show (CES) 米兜彩票网 feeling disappointed with the AI capabilities showcased, though the technology was omnipresent at the show. There were plenty of robots, ranging from Samsung’s Ballie to dishwasher and barista robots, as well as smart TVs and healthcare and fitness devices – all highlighting the use of AI. However, the ubiquitous presence of AI across the show in some sense made the technology lose its meaning, as most of the exhibits were repetitions from previous years or “half-baked” concepts.

At the same time, without advances in deep learning, we wouldn’t have Amazon Alexa or Google 米兜彩票官网, the two breakout products that have dominated CES for the past few years. Deep learning enables machines to parse human voice/speech and provide intelligent responses. Similarly, deep learning techniques also enable cameras to detect objects, weeds, faces, people, lane markings, or stop signs. Vision and language understanding have troubled researchers and engineers for many decades, and today’s AI capabilities are truly remarkable in that context.

However, we have only scratched the surface with AI. While vision AI has garnered a lot of attention lately, look for breakthroughs in AI for language and audio processing. AI use cases and products have some maturing to do in the business-to-consumer (B2C) sector, but business-to-business (B2B) sectors like retail are expected to break away and scale adoption. Also, new markets like synthetic content are around the corner thanks to generative AI models, giving rise to new entrants and pioneering business models.

AI Software Revenue Share by Meta Category, World Markets: 2025

米兜彩票app

Source: Tractica, Artificial Intelligence Market Forecasts, 4Q 2019

Major AI Themes: Progress

The major AI themes at CES 米兜彩票网 illustrated progress:

  • Enterprise AI is gaining ground on the back of consumer AI: Continuing with last year’s trend, companies like John Deere increased their presence at the CES, showcasing their AI capabilities. provided a comprehensive view of its AI-infused weed sprayer that is powered by the expanding data strategy built around imaging and tagging agricultural data, including crops, insect, and weeds. In the same light, , , and highlighted their enterprise AI push across retail, construction, and the manufacturing sector.

米兜彩票app

Sources: Tractica, CES 米兜彩票网

  • Retailers are expected to infuse AI across the frontend and backend: Shopper analytics is the ability to use cameras to track and analyze shopper behavior in-store to optimize product placement and store layout, enhance personalized shopper experiences, and prevent shoplifting. In-store shopper analytics was frequently mentioned as one of the most desired enterprise AI use cases in Tractica’s conversations with AI vendors. Similarly, smart mirror technology for clothes fitting, makeup, and hairstyling was a common theme across several exhibitors.

米兜彩票app              米兜彩票app

Sources: Tractica, CES 米兜彩票网

  • AI for audio processing and acoustics is the next frontier: Directional audio processing and filtering technology has made breakthroughs using AI, allowing for devices like Alexa and Google 米兜彩票官网 to pick up audio commands in noisy households. The same AI acoustics technology is now showing up in many other applications like smart hearing aids, as well as in manufacturing, automotive, construction, HVAC, and many others. In fact, .

米兜彩票app

Sources: Tractica, CES 米兜彩票网

  • Synthetic content marketplace could shake up multiple industries: Generative AI is a branch of techniques used to artificially generate images, audio, voice, or any other data. Companies like are providing AI-generated voices for news organizations, while provides synthetic data for building any AI application, from robots, drones, and virtual and augmented reality (VR/AR) to autonomous cars. aims to provide virtual synthetic humans, complete with a brain and emotional capabilities in life-size avatars. However, deepfakes represent a worrying outcome of generative AI. While the technology is still in its early stages, it could completely transform media & entertainment, gaming, and the AI data life cycle itself.

米兜彩票app

Sources: Tractica, CES 米兜彩票网

]]>
Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog
http://tractica./newsroom/press-releases/video-analytics-solutions-are-driven-by-the-need-for-safety-and-security-with-global-revenue-reaching-4-5-billion-in-2025/ Video Analytics Solutions Are Driven by the Need for Safety and Security, With Global Revenue Reaching $4.5 Billion in 2025 米兜彩票网-01-30T07:00:35.v-07:00 The world of computer vision has evolved rapidly in recent years, and computers are now more accurate than humans in... More The world of computer vision has evolved rapidly in recent years, and computers are now more accurate than humans in some application areas. A new application of computer vision called video analytics (VA) has emerged. VA deals with the extraction of data from incoming video and the generation of results that are meaningful to humans. According to a new report from Tractica, the boost in accuracy levels has resulted in increased market awareness, more providers and new uses cases.

Maturing computer vision algorithms, coupled with increasing computational capacity and increased camera resolution, have all helped to increase accuracy. Video analytics solutions are finding strong usage in security applications, being an ideal solution that meets the needs of surveillance system operators, security officers, and corporate managers. However, many industries have adopted VA systems in different application areas that extend well beyond security. According to principal analyst Anand Joshi,  “Business intelligence, where the data generated by VA is used for business purposes, is emerging as another strong use case driven by the retail market. The intelligence has been used for marketing, operations analysis, and other business purposes.” Tractica forecasts that global VA revenue will increase from $1.1 billion in 2018 to $4.5 billion in 2025.

米兜彩票app

Tractica’s report, “Video Analytics”, examines the market trends surrounding VA technologies and presents forecasts through 2025. It presents an in-depth analysis of the significant market drivers, market barriers, application markets, and technology issues, in addition to detailed profiles of key industry players. The major application markets covered include government, retail, consumer, smart city, critical infrastructure, and other. Market forecasts are segmented by world region, application market, use case (security vs. business intelligence), and intelligence location (edge vs. on-premises/cloud). An Executive Summary of the report is available for free download on the firm’s website.

]]>
sherrilhanson http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./robotics/robotic-components-the-building-blocks-of-robotic-life/ Robotic Components: The Building Blocks of Robotic Life 米兜彩票网-01-24T16:03:29.v-07:00 Much is written about robot systems, but what about the components that comprise these machines? Key technologies include the robot... More 米兜彩票approbotic-components-the-building-blocks-of-robotic-life

Much is written about robot systems, but what about the components that comprise these machines? Key technologies include the robot arms, grippers, actuators, sensors, vision systems, power systems, and controllers. The robotics market is experiencing a strong growth trend in conjunction with the surge of automation, smart manufacturing, and e-commerce fulfillment. This is driving demand for all robotic components. Let’s take a look at some of the technologies and key companies in this space.

米兜彩票app

(Source: ABB Robotics)

Robot Arms and Actuators

Robot arms are built from multiple rigid frames moved by actuators at each joint. The main types of actuators include rotary or linear electric motors that rotate or slide to flex each joint precisely and line up the arm and gripper for each task. Hydraulic cylinders are often used for heavy lifting in manufacturing and material handling. Other types of actuators include pneumatic, piezoelectric, memory alloys, thermal, hybrid, and magnetic.

, , , , and are several of the leading providers of actuators for companies that manufacture robot arms and grippers. Robot arm providers include , , , and . Some of the most innovative arms are the collaborative robots (cobots) from that can work safely alongside humans without major changes to infrastructure or processes.

米兜彩票app

(Source: Universal Robots)

End-of-Arm Tooling

Attached to the robot arm is an end-of-arm tool (EoAT) that does the actual work. These EoATs range from simple pinch grippers to multi-finger grippers to welding tips, grinders, glue guns, suction cups, and screw and bolt drivers. They are used for assembly, polishing, grinding, sanding, gluing, picking, packing boxes, loading pallets, and more.

Traditional grippers have stiff metal or plastic jaws that operate repeatedly and with high precision, like the ones from , , and . New use cases require grippers that can grasp delicate or soft materials or objects that vary in contour, size, or orientation. One example is ’ pneumatic grippers and soft jaws targeted at the logistics, food & beverage, and advanced manufacturing industries.

米兜彩票app

(Source: Soft Robotics)

Sensors and Vision Systems

A robot with no way to sense its position or environment is simply an automaton that performs movements blindly. Add position sensors and a robot can tell how far each actuator has traveled. Other important sensors detect force being exerted, location in 3D space, airflow, electric, current, displacement, heat, time, humidity, infrared light, magnetism, position, pressure, proximity, and temperature. Leading sensor companies include , , , and .

Add vision and a robot can detect the presence of a part or a person and perform quality inspection, polishing, welding, gluing, and more. One technology that is rapidly growing in popularity is 3D lidar. Expect to see cameras added to robot stations, arms, and EoATs and more lidar used for robotic and unmanned aerial vehicle (UAV) applications in the future. , , , and (the inventor of 3D lidar) are key providers of vision systems.

米兜彩票app

(Source: Velodyne)

Power Systems

None of these components can move without a power supply, either tethered power from the facility or battery power for mobile robots. Surgical robots and some other mission-critical robots often include both tethered power and batteries so they can move back to a neutral position if power is lost in the facility. Many robots also use standby batteries that back up factory settings or other settings. Power systems and batteries can represent a significant portion of the total cost for a robot. New developments in batteries are being pursued to produce lighter, smaller, more affordable power for mobile robots and UAVs. Leading companies include , , , , and .

米兜彩票app

(Source: MEAN WELL)

Controllers

All of the above components are stationary unless they receive commands from a controller, the programmable brains that send precise amounts of power from power systems to control actuators and EoATs to move and perform tasks. Robot controllers are becoming increasingly integrated with the power system, sensors, cameras, industrial Internet of Things (IIoT), cloud processing, and storage through automation software platforms. A combination of precision controllers, motors, and sensors is also responsible for the repeatability and accuracy of robot actuators and EoATs. Leading companies in this space include ABB, FANUC, KUKA, , and . Expect to see controllers become more integrated and intelligent and provide more precise control as this technology evolves.

米兜彩票app

(Source: Yaskawa)

The Future of Robotic Components

Numerous factors will continue to drive rapid growth in the global robotic components market. The development of better robotic components, combined with intelligent management software platforms, promises to stimulate the market. Growing awareness of the usefulness of robots, especially cobots, and the ease with which they can be integrated, as well as their rapid ROI, will continue to fuel demand for the foreseeable future. Such growth will create many opportunities for both traditional industrial robotic component companies and new startups wishing to establish a foothold in the robot space.

You can learn more in Tractica’s upcoming Robotics Components report detailing the market, technology, major players, and component-level forecasts for the robotic components industry. Watch this page for the release of this new industry report scheduled for 1Q 米兜彩票网.

]]>
Glenn Sanders http://tractica./feed/ 米兜彩票官网Blog
http://tractica./robotics/robotic-components-the-building-blocks-of-robotic-life/ Robotic Components: The Building Blocks of Robotic Life 米兜彩票网-01-24T16:03:29.v-07:00 Much is written about robot systems, but what about the components that comprise these machines? Key technologies include the robot arms, grippers, actuators, sensors, vision systems, power systems, and controllers. The robotics market is experiencing a strong growth trend in conjunction with the surge of automation, smart manufacturing, and e-commerce fulfillment. This is driving demand […] 米兜彩票approbotic-components-the-building-blocks-of-robotic-life

Much is written about robot systems, but what about the components that comprise these machines? Key technologies include the robot arms, grippers, actuators, sensors, vision systems, power systems, and controllers. The robotics market is experiencing a strong growth trend in conjunction with the surge of automation, smart manufacturing, and e-commerce fulfillment. This is driving demand for all robotic components. Let’s take a look at some of the technologies and key companies in this space.

米兜彩票app

(Source: ABB Robotics)

Robot Arms and Actuators

Robot arms are built from multiple rigid frames moved by actuators at each joint. The main types of actuators include rotary or linear electric motors that rotate or slide to flex each joint precisely and line up the arm and gripper for each task. Hydraulic cylinders are often used for heavy lifting in manufacturing and material handling. Other types of actuators include pneumatic, piezoelectric, memory alloys, thermal, hybrid, and magnetic.

, , , , and are several of the leading providers of actuators for companies that manufacture robot arms and grippers. Robot arm providers include , , , and . Some of the most innovative arms are the collaborative robots (cobots) from that can work safely alongside humans without major changes to infrastructure or processes.

米兜彩票app

(Source: Universal Robots)

End-of-Arm Tooling

Attached to the robot arm is an end-of-arm tool (EoAT) that does the actual work. These EoATs range from simple pinch grippers to multi-finger grippers to welding tips, grinders, glue guns, suction cups, and screw and bolt drivers. They are used for assembly, polishing, grinding, sanding, gluing, picking, packing boxes, loading pallets, and more.

Traditional grippers have stiff metal or plastic jaws that operate repeatedly and with high precision, like the ones from , , and . New use cases require grippers that can grasp delicate or soft materials or objects that vary in contour, size, or orientation. One example is ’ pneumatic grippers and soft jaws targeted at the logistics, food & beverage, and advanced manufacturing industries.

米兜彩票app

(Source: Soft Robotics)

Sensors and Vision Systems

A robot with no way to sense its position or environment is simply an automaton that performs movements blindly. Add position sensors and a robot can tell how far each actuator has traveled. Other important sensors detect force being exerted, location in 3D space, airflow, electric, current, displacement, heat, time, humidity, infrared light, magnetism, position, pressure, proximity, and temperature. Leading sensor companies include , , , and .

Add vision and a robot can detect the presence of a part or a person and perform quality inspection, polishing, welding, gluing, and more. One technology that is rapidly growing in popularity is 3D lidar. Expect to see cameras added to robot stations, arms, and EoATs and more lidar used for robotic and unmanned aerial vehicle (UAV) applications in the future. , , , and (the inventor of 3D lidar) are key providers of vision systems.

米兜彩票app

(Source: Velodyne)

Power Systems

None of these components can move without a power supply, either tethered power from the facility or battery power for mobile robots. Surgical robots and some other mission-critical robots often include both tethered power and batteries so they can move back to a neutral position if power is lost in the facility. Many robots also use standby batteries that back up factory settings or other settings. Power systems and batteries can represent a significant portion of the total cost for a robot. New developments in batteries are being pursued to produce lighter, smaller, more affordable power for mobile robots and UAVs. Leading companies include , , , , and .

米兜彩票app

(Source: MEAN WELL)

Controllers

All of the above components are stationary unless they receive commands from a controller, the programmable brains that send precise amounts of power from power systems to control actuators and EoATs to move and perform tasks. Robot controllers are becoming increasingly integrated with the power system, sensors, cameras, industrial Internet of Things (IIoT), cloud processing, and storage through automation software platforms. A combination of precision controllers, motors, and sensors is also responsible for the repeatability and accuracy of robot actuators and EoATs. Leading companies in this space include ABB, FANUC, KUKA, , and . Expect to see controllers become more integrated and intelligent and provide more precise control as this technology evolves.

米兜彩票app

(Source: Yaskawa)

The Future of Robotic Components

Numerous factors will continue to drive rapid growth in the global robotic components market. The development of better robotic components, combined with intelligent management software platforms, promises to stimulate the market. Growing awareness of the usefulness of robots, especially cobots, and the ease with which they can be integrated, as well as their rapid ROI, will continue to fuel demand for the foreseeable future. Such growth will create many opportunities for both traditional industrial robotic component companies and new startups wishing to establish a foothold in the robot space.

You can learn more in Tractica’s upcoming Robotics Components report detailing the market, technology, major players, and component-level forecasts for the robotic components industry. Watch this page for the release of this new industry report scheduled for 1Q 米兜彩票网.

]]>
Glenn Sanders http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./robotics/robotic-components-the-building-blocks-of-robotic-life/ Robotic Components: The Building Blocks of Robotic Life 米兜彩票网-01-24T16:03:29.v-07:00 Much is written about robot systems, but what about the components that comprise these machines? Key technologies include the robot arms, grippers, actuators, sensors, vision systems, power systems, and controllers. The robotics market is experiencing a strong growth trend in conjunction with the surge of automation, smart manufacturing, and e-commerce fulfillment. This is driving demand […] 米兜彩票approbotic-components-the-building-blocks-of-robotic-life

Much is written about robot systems, but what about the components that comprise these machines? Key technologies include the robot arms, grippers, actuators, sensors, vision systems, power systems, and controllers. The robotics market is experiencing a strong growth trend in conjunction with the surge of automation, smart manufacturing, and e-commerce fulfillment. This is driving demand for all robotic components. Let’s take a look at some of the technologies and key companies in this space.

米兜彩票app

(Source: ABB Robotics)

Robot Arms and Actuators

Robot arms are built from multiple rigid frames moved by actuators at each joint. The main types of actuators include rotary or linear electric motors that rotate or slide to flex each joint precisely and line up the arm and gripper for each task. Hydraulic cylinders are often used for heavy lifting in manufacturing and material handling. Other types of actuators include pneumatic, piezoelectric, memory alloys, thermal, hybrid, and magnetic.

, , , , and are several of the leading providers of actuators for companies that manufacture robot arms and grippers. Robot arm providers include , , , and . Some of the most innovative arms are the collaborative robots (cobots) from that can work safely alongside humans without major changes to infrastructure or processes.

米兜彩票app

(Source: Universal Robots)

End-of-Arm Tooling

Attached to the robot arm is an end-of-arm tool (EoAT) that does the actual work. These EoATs range from simple pinch grippers to multi-finger grippers to welding tips, grinders, glue guns, suction cups, and screw and bolt drivers. They are used for assembly, polishing, grinding, sanding, gluing, picking, packing boxes, loading pallets, and more.

Traditional grippers have stiff metal or plastic jaws that operate repeatedly and with high precision, like the ones from , , and . New use cases require grippers that can grasp delicate or soft materials or objects that vary in contour, size, or orientation. One example is ’ pneumatic grippers and soft jaws targeted at the logistics, food & beverage, and advanced manufacturing industries.

米兜彩票app

(Source: Soft Robotics)

Sensors and Vision Systems

A robot with no way to sense its position or environment is simply an automaton that performs movements blindly. Add position sensors and a robot can tell how far each actuator has traveled. Other important sensors detect force being exerted, location in 3D space, airflow, electric, current, displacement, heat, time, humidity, infrared light, magnetism, position, pressure, proximity, and temperature. Leading sensor companies include , , , and .

Add vision and a robot can detect the presence of a part or a person and perform quality inspection, polishing, welding, gluing, and more. One technology that is rapidly growing in popularity is 3D lidar. Expect to see cameras added to robot stations, arms, and EoATs and more lidar used for robotic and unmanned aerial vehicle (UAV) applications in the future. , , , and (the inventor of 3D lidar) are key providers of vision systems.

米兜彩票app

(Source: Velodyne)

Power Systems

None of these components can move without a power supply, either tethered power from the facility or battery power for mobile robots. Surgical robots and some other mission-critical robots often include both tethered power and batteries so they can move back to a neutral position if power is lost in the facility. Many robots also use standby batteries that back up factory settings or other settings. Power systems and batteries can represent a significant portion of the total cost for a robot. New developments in batteries are being pursued to produce lighter, smaller, more affordable power for mobile robots and UAVs. Leading companies include , , , , and .

米兜彩票app

(Source: MEAN WELL)

Controllers

All of the above components are stationary unless they receive commands from a controller, the programmable brains that send precise amounts of power from power systems to control actuators and EoATs to move and perform tasks. Robot controllers are becoming increasingly integrated with the power system, sensors, cameras, industrial Internet of Things (IIoT), cloud processing, and storage through automation software platforms. A combination of precision controllers, motors, and sensors is also responsible for the repeatability and accuracy of robot actuators and EoATs. Leading companies in this space include ABB, FANUC, KUKA, , and . Expect to see controllers become more integrated and intelligent and provide more precise control as this technology evolves.

米兜彩票app

(Source: Yaskawa)

The Future of Robotic Components

Numerous factors will continue to drive rapid growth in the global robotic components market. The development of better robotic components, combined with intelligent management software platforms, promises to stimulate the market. Growing awareness of the usefulness of robots, especially cobots, and the ease with which they can be integrated, as well as their rapid ROI, will continue to fuel demand for the foreseeable future. Such growth will create many opportunities for both traditional industrial robotic component companies and new startups wishing to establish a foothold in the robot space.

You can learn more in Tractica’s upcoming Robotics Components report detailing the market, technology, major players, and component-level forecasts for the robotic components industry. Watch this page for the release of this new industry report scheduled for 1Q 米兜彩票网.

]]>
Glenn Sanders http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./robotics/robotic-components-the-building-blocks-of-robotic-life/ Robotic Components: The Building Blocks of Robotic Life 米兜彩票网-01-24T16:03:29.v-07:00 Much is written about robot systems, but what about the components that comprise these machines? Key technologies include the robot arms, grippers, actuators, sensors, vision systems, power systems, and controllers. The robotics market is experiencing a strong growth trend in conjunction with the surge of automation, smart manufacturing, and e-commerce fulfillment. This is driving demand […] 米兜彩票approbotic-components-the-building-blocks-of-robotic-life

Much is written about robot systems, but what about the components that comprise these machines? Key technologies include the robot arms, grippers, actuators, sensors, vision systems, power systems, and controllers. The robotics market is experiencing a strong growth trend in conjunction with the surge of automation, smart manufacturing, and e-commerce fulfillment. This is driving demand for all robotic components. Let’s take a look at some of the technologies and key companies in this space.

米兜彩票app

(Source: ABB Robotics)

Robot Arms and Actuators

Robot arms are built from multiple rigid frames moved by actuators at each joint. The main types of actuators include rotary or linear electric motors that rotate or slide to flex each joint precisely and line up the arm and gripper for each task. Hydraulic cylinders are often used for heavy lifting in manufacturing and material handling. Other types of actuators include pneumatic, piezoelectric, memory alloys, thermal, hybrid, and magnetic.

, , , , and are several of the leading providers of actuators for companies that manufacture robot arms and grippers. Robot arm providers include , , , and . Some of the most innovative arms are the collaborative robots (cobots) from that can work safely alongside humans without major changes to infrastructure or processes.

米兜彩票app

(Source: Universal Robots)

End-of-Arm Tooling

Attached to the robot arm is an end-of-arm tool (EoAT) that does the actual work. These EoATs range from simple pinch grippers to multi-finger grippers to welding tips, grinders, glue guns, suction cups, and screw and bolt drivers. They are used for assembly, polishing, grinding, sanding, gluing, picking, packing boxes, loading pallets, and more.

Traditional grippers have stiff metal or plastic jaws that operate repeatedly and with high precision, like the ones from , , and . New use cases require grippers that can grasp delicate or soft materials or objects that vary in contour, size, or orientation. One example is ’ pneumatic grippers and soft jaws targeted at the logistics, food & beverage, and advanced manufacturing industries.

米兜彩票app

(Source: Soft Robotics)

Sensors and Vision Systems

A robot with no way to sense its position or environment is simply an automaton that performs movements blindly. Add position sensors and a robot can tell how far each actuator has traveled. Other important sensors detect force being exerted, location in 3D space, airflow, electric, current, displacement, heat, time, humidity, infrared light, magnetism, position, pressure, proximity, and temperature. Leading sensor companies include , , , and .

Add vision and a robot can detect the presence of a part or a person and perform quality inspection, polishing, welding, gluing, and more. One technology that is rapidly growing in popularity is 3D lidar. Expect to see cameras added to robot stations, arms, and EoATs and more lidar used for robotic and unmanned aerial vehicle (UAV) applications in the future. , , , and (the inventor of 3D lidar) are key providers of vision systems.

米兜彩票app

(Source: Velodyne)

Power Systems

None of these components can move without a power supply, either tethered power from the facility or battery power for mobile robots. Surgical robots and some other mission-critical robots often include both tethered power and batteries so they can move back to a neutral position if power is lost in the facility. Many robots also use standby batteries that back up factory settings or other settings. Power systems and batteries can represent a significant portion of the total cost for a robot. New developments in batteries are being pursued to produce lighter, smaller, more affordable power for mobile robots and UAVs. Leading companies include , , , , and .

米兜彩票app

(Source: MEAN WELL)

Controllers

All of the above components are stationary unless they receive commands from a controller, the programmable brains that send precise amounts of power from power systems to control actuators and EoATs to move and perform tasks. Robot controllers are becoming increasingly integrated with the power system, sensors, cameras, industrial Internet of Things (IIoT), cloud processing, and storage through automation software platforms. A combination of precision controllers, motors, and sensors is also responsible for the repeatability and accuracy of robot actuators and EoATs. Leading companies in this space include ABB, FANUC, KUKA, , and . Expect to see controllers become more integrated and intelligent and provide more precise control as this technology evolves.

米兜彩票app

(Source: Yaskawa)

The Future of Robotic Components

Numerous factors will continue to drive rapid growth in the global robotic components market. The development of better robotic components, combined with intelligent management software platforms, promises to stimulate the market. Growing awareness of the usefulness of robots, especially cobots, and the ease with which they can be integrated, as well as their rapid ROI, will continue to fuel demand for the foreseeable future. Such growth will create many opportunities for both traditional industrial robotic component companies and new startups wishing to establish a foothold in the robot space.

You can learn more in Tractica’s upcoming Robotics Components report detailing the market, technology, major players, and component-level forecasts for the robotic components industry. Watch this page for the release of this new industry report scheduled for 1Q 米兜彩票网.

]]>
Glenn Sanders http://tractica./feed/ 米兜彩票官网Blog
http://tractica./artificial-intelligence/ai-ethics-address-the-accountability-gap-or-risk-another-ai-winter/ AI Ethics: Address the Accountability Gap or Risk Another AI Winter 米兜彩票网-01-15T07:54:45.v-07:00 One of the core benefits of artificial intelligence (AI) is its ability to remove humans from specific tasks and decisions.... More 米兜彩票appai-ethics-address-the-accountability-gap-or-risk-another-ai-winter

One of the core benefits of artificial intelligence (AI) is its ability to remove humans from specific tasks and decisions. But if something goes wrong, who or what assumes responsibility? Who or what is culpable? What punishment would represent an effective deterrent? With no clear-cut answers, the looming governance of the accountability gap represents one of the greatest potential market barriers to the growth of AI.

The Maltese Falcon

Dashiell Hammett’s legendary book-turned-movie, The Maltese Falcon, is widely considered one of the greatest pieces of detective literature. The story is confusing – it starts with one crime to solve (a murder) but then devolves to include several other connected crimes. The brilliance of the plot is that everyone is potentially guilty of something. The same plot lines could be used to describe AI’s accountability gap: there are a lot of potential suspects, but the issues and the claims get confusing and difficult to prove.

米兜彩票app

(Source: Warner Bros.)

In an published in October 2019, lawyer Michael Camilleri tackled the idea of product liability in an imaginary case of an accident involving an autonomous vehicle (AV) in Malta. Camilleri asked, “Who do I sue?” He looked at four options as potential defendants: the AI, the vehicle owner, the AV software vendor, and the vehicle manufacturer. But Camilleri didn’t come up with a strong candidate to sue. Consider the following:

  • Can the AI be found responsible?

No, Maltese tort laws were written with people in mind:

every person has a duty of care, to make use of his rights within the proper limits. A product is not a person … and to say that an AI (e.g., an AV) has a duty of care even if granted legal personality would be to stretch current interpretations too far.

  • Can the vehicle owner be found responsible?

No:

… it is arguable that few would be willing to risk buying AVs if vicarious liability were attached to them.

  • Can the AV software vendor be found responsible?

No, under contract law, manufacturers warrant against defects that exist at the time the contract was made. Camilleri also points to AI’s ability to learn as a challenge to liability:

Considering that AVs learn as they drive on the road, how can a vendor be made to answer for latent defects or lack of conformity which AVs learn AFTER the time the contract was concluded? This question would already complicate the task of attributing responsibility to the vendor under contract law.

  • Can the vehicle manufacturer be found responsible?

Unlikely:

how can I prove they are responsible for the damages suffered?

Causality, Justice, and Compensation

Camilleri’s example only covers one legal issue: causality. According to experts, there are two other areas in which the AI accountability gap will cause legal problems: justice and compensation. New Zealand-based attorney Matt Bartlett the challenges like this:

Justice
The penalties and remedies of the legal system are for the most part built to be levelled against humans, not autonomous computer programs. Far from being an appendix to the legal process, the ability to impose effective penalties to those who break the law is absolutely crucial to the underlying justice of the system. In order to be credible, it’s vital that the legal system can punish wrongdoing proportionately and effectively.

Compensation
Our legal system struggles to apply a general principle (in this case, victim compensation) where the harm is inflicted by an autonomous agent. It’s obviously impossible for a court to compel an AI – a computer program – to pay thousands of dollars to a victim to cover their medical costs. So in order for victims to have any recourse in the legal system, they have to be able to pursue a human (or, at least, a business) with the capacity to pay compensation. Consequently, the “accountability gap” adds serious difficulty to victims looking to receive compensation through the legal system.

AI Governance and Ethics: A Leadership Vacuum

In today’s ecosystem of AI governance and ethics, the most active players have been academia and European governmental organizations (EU, Council of Europe, and the Atomium European Institute’s AI4People). The tech industry has been slow to organize itself, though there are initiatives underway that might become significant voices. Among those are the IEEE’s and . Between these groups, ideas about how to solve the AI accountability gap are starting to form. But when issues of causality, justice, and compensation come up in real-life instances within governments, those legal systems will have no choice but to find solutions and set precedents and uneven government standards, which could have chilling effects on AI business. The solution to this challenge is for the global tech industry to become proactive partners with governments to solve the AI accountability gap. In the meantime, piecemeal solution ideas are bubbling up.

Piecemeal Solutions

Attorney Bartlett suggested in the case of AVs, governments could adopt no-fault coverage policies to pay AI-related lawsuits:

Victims would lose ability to sue individual developers but would receive acknowledgement of harm and medical costs covered by the government … (governments could) reserve for themselves the ability to prosecute AI developers whose creations cause harm. This might be a more efficient system for taking the worst offenders to court. Victims of autonomous decisions can work through a dedicated body to bring developers to account, similar to how the police work with victims in a criminal context. This helps prevent the floodgates being opened, and helps stop garage-based AI coders from being drowned in civil lawsuits.

Some think there might be technical solutions that might help. The idea of algorithmic auditing is described in the Council of Europe’s paper, :

Algorithmic auditing is emerging as a field of applied technical research, that draws upon a suite of emerging research tools and techniques for detecting, investigating and diagnosing unwanted adverse effects of algorithmic systems. It has been proposed that techniques of this kind might be formalized and institutionalized within a legally mandated regulatory governance framework, through which algorithmic systems … are subject to periodic review and oversight by an external authority staffed by suitably qualified technical specialists. Cukier and Mayer-Schonenberg suggest that a new group of professionals are needed (“algorithmists”) to take on this role, which may constitute a profession akin to that of law, medicine, accounting and engineering and who can be relied upon to undertake the task of algorithmic auditing either as independent and external algorithmists to monitor algorithms from the outside, or by “internal” algorithmists employed by organizations to monitor those developed and deployed by the organization, which can then be subjected to external review.

In , the recommendation has been made that might provide a good middle ground for AI advocates and government – collectively agree on decisions that AI should not make:

Assess which tasks and decision-making functionalities should not be delegated to AI systems, through the use of participatory mechanisms to ensure alignment with societal values and understanding of public opinion. This assessment should take into account existing legislation and be supported by ongoing dialogue between all stakeholders (including government, industry, and civil society) to debate how AI will impact society opinion.

While these three ideas are good starts, they are not cure-all solutions.

What Will the Industry Do?

As mentioned earlier, legal systems around the world will deal with AI accountability one way or another as real-life cases come to bear. Instead of forging ahead with any legally binding and enforceable best practices and codes of ethics, tech companies and tech company collectives should consider aggressively seeking to work cooperatively with governments to find solutions to the AI accountability gap.

]]>
Mark Beccue http://tractica./feed/ 米兜彩票官网Blog
http://tractica./artificial-intelligence/ai-ethics-address-the-accountability-gap-or-risk-another-ai-winter/ AI Ethics: Address the Accountability Gap or Risk Another AI Winter 米兜彩票网-01-15T07:54:45.v-07:00 One of the core benefits of artificial intelligence (AI) is its ability to remove humans from specific tasks and decisions. But if something goes wrong, who or what assumes responsibility? Who or what is culpable? What punishment would represent an effective deterrent? With no clear-cut answers, the looming governance of the accountability gap represents one […] 米兜彩票appai-ethics-address-the-accountability-gap-or-risk-another-ai-winter

One of the core benefits of artificial intelligence (AI) is its ability to remove humans from specific tasks and decisions. But if something goes wrong, who or what assumes responsibility? Who or what is culpable? What punishment would represent an effective deterrent? With no clear-cut answers, the looming governance of the accountability gap represents one of the greatest potential market barriers to the growth of AI.

The Maltese Falcon

Dashiell Hammett’s legendary book-turned-movie, The Maltese Falcon, is widely considered one of the greatest pieces of detective literature. The story is confusing – it starts with one crime to solve (a murder) but then devolves to include several other connected crimes. The brilliance of the plot is that everyone is potentially guilty of something. The same plot lines could be used to describe AI’s accountability gap: there are a lot of potential suspects, but the issues and the claims get confusing and difficult to prove.

米兜彩票app

(Source: Warner Bros.)

In an published in October 2019, lawyer Michael Camilleri tackled the idea of product liability in an imaginary case of an accident involving an autonomous vehicle (AV) in Malta. Camilleri asked, “Who do I sue?” He looked at four options as potential defendants: the AI, the vehicle owner, the AV software vendor, and the vehicle manufacturer. But Camilleri didn’t come up with a strong candidate to sue. Consider the following:

  • Can the AI be found responsible?

No, Maltese tort laws were written with people in mind:

every person has a duty of care, to make use of his rights within the proper limits. A product is not a person … and to say that an AI (e.g., an AV) has a duty of care even if granted legal personality would be to stretch current interpretations too far.

  • Can the vehicle owner be found responsible?

No:

… it is arguable that few would be willing to risk buying AVs if vicarious liability were attached to them.

  • Can the AV software vendor be found responsible?

No, under contract law, manufacturers warrant against defects that exist at the time the contract was made. Camilleri also points to AI’s ability to learn as a challenge to liability:

Considering that AVs learn as they drive on the road, how can a vendor be made to answer for latent defects or lack of conformity which AVs learn AFTER the time the contract was concluded? This question would already complicate the task of attributing responsibility to the vendor under contract law.

  • Can the vehicle manufacturer be found responsible?

Unlikely:

how can I prove they are responsible for the damages suffered?

Causality, Justice, and Compensation

Camilleri’s example only covers one legal issue: causality. According to experts, there are two other areas in which the AI accountability gap will cause legal problems: justice and compensation. New Zealand-based attorney Matt Bartlett the challenges like this:

Justice
The penalties and remedies of the legal system are for the most part built to be levelled against humans, not autonomous computer programs. Far from being an appendix to the legal process, the ability to impose effective penalties to those who break the law is absolutely crucial to the underlying justice of the system. In order to be credible, it’s vital that the legal system can punish wrongdoing proportionately and effectively.

Compensation
Our legal system struggles to apply a general principle (in this case, victim compensation) where the harm is inflicted by an autonomous agent. It’s obviously impossible for a court to compel an AI – a computer program – to pay thousands of dollars to a victim to cover their medical costs. So in order for victims to have any recourse in the legal system, they have to be able to pursue a human (or, at least, a business) with the capacity to pay compensation. Consequently, the “accountability gap” adds serious difficulty to victims looking to receive compensation through the legal system.

AI Governance and Ethics: A Leadership Vacuum

In today’s ecosystem of AI governance and ethics, the most active players have been academia and European governmental organizations (EU, Council of Europe, and the Atomium European Institute’s AI4People). The tech industry has been slow to organize itself, though there are initiatives underway that might become significant voices. Among those are the IEEE’s and . Between these groups, ideas about how to solve the AI accountability gap are starting to form. But when issues of causality, justice, and compensation come up in real-life instances within governments, those legal systems will have no choice but to find solutions and set precedents and uneven government standards, which could have chilling effects on AI business. The solution to this challenge is for the global tech industry to become proactive partners with governments to solve the AI accountability gap. In the meantime, piecemeal solution ideas are bubbling up.

Piecemeal Solutions

Attorney Bartlett suggested in the case of AVs, governments could adopt no-fault coverage policies to pay AI-related lawsuits:

Victims would lose ability to sue individual developers but would receive acknowledgement of harm and medical costs covered by the government … (governments could) reserve for themselves the ability to prosecute AI developers whose creations cause harm. This might be a more efficient system for taking the worst offenders to court. Victims of autonomous decisions can work through a dedicated body to bring developers to account, similar to how the police work with victims in a criminal context. This helps prevent the floodgates being opened, and helps stop garage-based AI coders from being drowned in civil lawsuits.

Some think there might be technical solutions that might help. The idea of algorithmic auditing is described in the Council of Europe’s paper, :

Algorithmic auditing is emerging as a field of applied technical research, that draws upon a suite of emerging research tools and techniques for detecting, investigating and diagnosing unwanted adverse effects of algorithmic systems. It has been proposed that techniques of this kind might be formalized and institutionalized within a legally mandated regulatory governance framework, through which algorithmic systems … are subject to periodic review and oversight by an external authority staffed by suitably qualified technical specialists. Cukier and Mayer-Schonenberg suggest that a new group of professionals are needed (“algorithmists”) to take on this role, which may constitute a profession akin to that of law, medicine, accounting and engineering and who can be relied upon to undertake the task of algorithmic auditing either as independent and external algorithmists to monitor algorithms from the outside, or by “internal” algorithmists employed by organizations to monitor those developed and deployed by the organization, which can then be subjected to external review.

In , the recommendation has been made that might provide a good middle ground for AI advocates and government – collectively agree on decisions that AI should not make:

Assess which tasks and decision-making functionalities should not be delegated to AI systems, through the use of participatory mechanisms to ensure alignment with societal values and understanding of public opinion. This assessment should take into account existing legislation and be supported by ongoing dialogue between all stakeholders (including government, industry, and civil society) to debate how AI will impact society opinion.

While these three ideas are good starts, they are not cure-all solutions.

What Will the Industry Do?

As mentioned earlier, legal systems around the world will deal with AI accountability one way or another as real-life cases come to bear. Instead of forging ahead with any legally binding and enforceable best practices and codes of ethics, tech companies and tech company collectives should consider aggressively seeking to work cooperatively with governments to find solutions to the AI accountability gap.

]]>
Mark Beccue http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./artificial-intelligence/ai-ethics-address-the-accountability-gap-or-risk-another-ai-winter/ AI Ethics: Address the Accountability Gap or Risk Another AI Winter 米兜彩票网-01-15T07:54:45.v-07:00 One of the core benefits of artificial intelligence (AI) is its ability to remove humans from specific tasks and decisions. But if something goes wrong, who or what assumes responsibility? Who or what is culpable? What punishment would represent an effective deterrent? With no clear-cut answers, the looming governance of the accountability gap represents one […] 米兜彩票appai-ethics-address-the-accountability-gap-or-risk-another-ai-winter

One of the core benefits of artificial intelligence (AI) is its ability to remove humans from specific tasks and decisions. But if something goes wrong, who or what assumes responsibility? Who or what is culpable? What punishment would represent an effective deterrent? With no clear-cut answers, the looming governance of the accountability gap represents one of the greatest potential market barriers to the growth of AI.

The Maltese Falcon

Dashiell Hammett’s legendary book-turned-movie, The Maltese Falcon, is widely considered one of the greatest pieces of detective literature. The story is confusing – it starts with one crime to solve (a murder) but then devolves to include several other connected crimes. The brilliance of the plot is that everyone is potentially guilty of something. The same plot lines could be used to describe AI’s accountability gap: there are a lot of potential suspects, but the issues and the claims get confusing and difficult to prove.

米兜彩票app

(Source: Warner Bros.)

In an published in October 2019, lawyer Michael Camilleri tackled the idea of product liability in an imaginary case of an accident involving an autonomous vehicle (AV) in Malta. Camilleri asked, “Who do I sue?” He looked at four options as potential defendants: the AI, the vehicle owner, the AV software vendor, and the vehicle manufacturer. But Camilleri didn’t come up with a strong candidate to sue. Consider the following:

  • Can the AI be found responsible?

No, Maltese tort laws were written with people in mind:

every person has a duty of care, to make use of his rights within the proper limits. A product is not a person … and to say that an AI (e.g., an AV) has a duty of care even if granted legal personality would be to stretch current interpretations too far.

  • Can the vehicle owner be found responsible?

No:

… it is arguable that few would be willing to risk buying AVs if vicarious liability were attached to them.

  • Can the AV software vendor be found responsible?

No, under contract law, manufacturers warrant against defects that exist at the time the contract was made. Camilleri also points to AI’s ability to learn as a challenge to liability:

Considering that AVs learn as they drive on the road, how can a vendor be made to answer for latent defects or lack of conformity which AVs learn AFTER the time the contract was concluded? This question would already complicate the task of attributing responsibility to the vendor under contract law.

  • Can the vehicle manufacturer be found responsible?

Unlikely:

how can I prove they are responsible for the damages suffered?

Causality, Justice, and Compensation

Camilleri’s example only covers one legal issue: causality. According to experts, there are two other areas in which the AI accountability gap will cause legal problems: justice and compensation. New Zealand-based attorney Matt Bartlett the challenges like this:

Justice
The penalties and remedies of the legal system are for the most part built to be levelled against humans, not autonomous computer programs. Far from being an appendix to the legal process, the ability to impose effective penalties to those who break the law is absolutely crucial to the underlying justice of the system. In order to be credible, it’s vital that the legal system can punish wrongdoing proportionately and effectively.

Compensation
Our legal system struggles to apply a general principle (in this case, victim compensation) where the harm is inflicted by an autonomous agent. It’s obviously impossible for a court to compel an AI – a computer program – to pay thousands of dollars to a victim to cover their medical costs. So in order for victims to have any recourse in the legal system, they have to be able to pursue a human (or, at least, a business) with the capacity to pay compensation. Consequently, the “accountability gap” adds serious difficulty to victims looking to receive compensation through the legal system.

AI Governance and Ethics: A Leadership Vacuum

In today’s ecosystem of AI governance and ethics, the most active players have been academia and European governmental organizations (EU, Council of Europe, and the Atomium European Institute’s AI4People). The tech industry has been slow to organize itself, though there are initiatives underway that might become significant voices. Among those are the IEEE’s and . Between these groups, ideas about how to solve the AI accountability gap are starting to form. But when issues of causality, justice, and compensation come up in real-life instances within governments, those legal systems will have no choice but to find solutions and set precedents and uneven government standards, which could have chilling effects on AI business. The solution to this challenge is for the global tech industry to become proactive partners with governments to solve the AI accountability gap. In the meantime, piecemeal solution ideas are bubbling up.

Piecemeal Solutions

Attorney Bartlett suggested in the case of AVs, governments could adopt no-fault coverage policies to pay AI-related lawsuits:

Victims would lose ability to sue individual developers but would receive acknowledgement of harm and medical costs covered by the government … (governments could) reserve for themselves the ability to prosecute AI developers whose creations cause harm. This might be a more efficient system for taking the worst offenders to court. Victims of autonomous decisions can work through a dedicated body to bring developers to account, similar to how the police work with victims in a criminal context. This helps prevent the floodgates being opened, and helps stop garage-based AI coders from being drowned in civil lawsuits.

Some think there might be technical solutions that might help. The idea of algorithmic auditing is described in the Council of Europe’s paper, :

Algorithmic auditing is emerging as a field of applied technical research, that draws upon a suite of emerging research tools and techniques for detecting, investigating and diagnosing unwanted adverse effects of algorithmic systems. It has been proposed that techniques of this kind might be formalized and institutionalized within a legally mandated regulatory governance framework, through which algorithmic systems … are subject to periodic review and oversight by an external authority staffed by suitably qualified technical specialists. Cukier and Mayer-Schonenberg suggest that a new group of professionals are needed (“algorithmists”) to take on this role, which may constitute a profession akin to that of law, medicine, accounting and engineering and who can be relied upon to undertake the task of algorithmic auditing either as independent and external algorithmists to monitor algorithms from the outside, or by “internal” algorithmists employed by organizations to monitor those developed and deployed by the organization, which can then be subjected to external review.

In , the recommendation has been made that might provide a good middle ground for AI advocates and government – collectively agree on decisions that AI should not make:

Assess which tasks and decision-making functionalities should not be delegated to AI systems, through the use of participatory mechanisms to ensure alignment with societal values and understanding of public opinion. This assessment should take into account existing legislation and be supported by ongoing dialogue between all stakeholders (including government, industry, and civil society) to debate how AI will impact society opinion.

While these three ideas are good starts, they are not cure-all solutions.

What Will the Industry Do?

As mentioned earlier, legal systems around the world will deal with AI accountability one way or another as real-life cases come to bear. Instead of forging ahead with any legally binding and enforceable best practices and codes of ethics, tech companies and tech company collectives should consider aggressively seeking to work cooperatively with governments to find solutions to the AI accountability gap.

]]>
Mark Beccue http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./artificial-intelligence/ai-ethics-address-the-accountability-gap-or-risk-another-ai-winter/ AI Ethics: Address the Accountability Gap or Risk Another AI Winter 米兜彩票网-01-15T07:54:45.v-07:00 One of the core benefits of artificial intelligence (AI) is its ability to remove humans from specific tasks and decisions. But if something goes wrong, who or what assumes responsibility? Who or what is culpable? What punishment would represent an effective deterrent? With no clear-cut answers, the looming governance of the accountability gap represents one […] 米兜彩票appai-ethics-address-the-accountability-gap-or-risk-another-ai-winter

One of the core benefits of artificial intelligence (AI) is its ability to remove humans from specific tasks and decisions. But if something goes wrong, who or what assumes responsibility? Who or what is culpable? What punishment would represent an effective deterrent? With no clear-cut answers, the looming governance of the accountability gap represents one of the greatest potential market barriers to the growth of AI.

The Maltese Falcon

Dashiell Hammett’s legendary book-turned-movie, The Maltese Falcon, is widely considered one of the greatest pieces of detective literature. The story is confusing – it starts with one crime to solve (a murder) but then devolves to include several other connected crimes. The brilliance of the plot is that everyone is potentially guilty of something. The same plot lines could be used to describe AI’s accountability gap: there are a lot of potential suspects, but the issues and the claims get confusing and difficult to prove.

米兜彩票app

(Source: Warner Bros.)

In an published in October 2019, lawyer Michael Camilleri tackled the idea of product liability in an imaginary case of an accident involving an autonomous vehicle (AV) in Malta. Camilleri asked, “Who do I sue?” He looked at four options as potential defendants: the AI, the vehicle owner, the AV software vendor, and the vehicle manufacturer. But Camilleri didn’t come up with a strong candidate to sue. Consider the following:

  • Can the AI be found responsible?

No, Maltese tort laws were written with people in mind:

every person has a duty of care, to make use of his rights within the proper limits. A product is not a person … and to say that an AI (e.g., an AV) has a duty of care even if granted legal personality would be to stretch current interpretations too far.

  • Can the vehicle owner be found responsible?

No:

… it is arguable that few would be willing to risk buying AVs if vicarious liability were attached to them.

  • Can the AV software vendor be found responsible?

No, under contract law, manufacturers warrant against defects that exist at the time the contract was made. Camilleri also points to AI’s ability to learn as a challenge to liability:

Considering that AVs learn as they drive on the road, how can a vendor be made to answer for latent defects or lack of conformity which AVs learn AFTER the time the contract was concluded? This question would already complicate the task of attributing responsibility to the vendor under contract law.

  • Can the vehicle manufacturer be found responsible?

Unlikely:

how can I prove they are responsible for the damages suffered?

Causality, Justice, and Compensation

Camilleri’s example only covers one legal issue: causality. According to experts, there are two other areas in which the AI accountability gap will cause legal problems: justice and compensation. New Zealand-based attorney Matt Bartlett the challenges like this:

Justice
The penalties and remedies of the legal system are for the most part built to be levelled against humans, not autonomous computer programs. Far from being an appendix to the legal process, the ability to impose effective penalties to those who break the law is absolutely crucial to the underlying justice of the system. In order to be credible, it’s vital that the legal system can punish wrongdoing proportionately and effectively.

Compensation
Our legal system struggles to apply a general principle (in this case, victim compensation) where the harm is inflicted by an autonomous agent. It’s obviously impossible for a court to compel an AI – a computer program – to pay thousands of dollars to a victim to cover their medical costs. So in order for victims to have any recourse in the legal system, they have to be able to pursue a human (or, at least, a business) with the capacity to pay compensation. Consequently, the “accountability gap” adds serious difficulty to victims looking to receive compensation through the legal system.

AI Governance and Ethics: A Leadership Vacuum

In today’s ecosystem of AI governance and ethics, the most active players have been academia and European governmental organizations (EU, Council of Europe, and the Atomium European Institute’s AI4People). The tech industry has been slow to organize itself, though there are initiatives underway that might become significant voices. Among those are the IEEE’s and . Between these groups, ideas about how to solve the AI accountability gap are starting to form. But when issues of causality, justice, and compensation come up in real-life instances within governments, those legal systems will have no choice but to find solutions and set precedents and uneven government standards, which could have chilling effects on AI business. The solution to this challenge is for the global tech industry to become proactive partners with governments to solve the AI accountability gap. In the meantime, piecemeal solution ideas are bubbling up.

Piecemeal Solutions

Attorney Bartlett suggested in the case of AVs, governments could adopt no-fault coverage policies to pay AI-related lawsuits:

Victims would lose ability to sue individual developers but would receive acknowledgement of harm and medical costs covered by the government … (governments could) reserve for themselves the ability to prosecute AI developers whose creations cause harm. This might be a more efficient system for taking the worst offenders to court. Victims of autonomous decisions can work through a dedicated body to bring developers to account, similar to how the police work with victims in a criminal context. This helps prevent the floodgates being opened, and helps stop garage-based AI coders from being drowned in civil lawsuits.

Some think there might be technical solutions that might help. The idea of algorithmic auditing is described in the Council of Europe’s paper, :

Algorithmic auditing is emerging as a field of applied technical research, that draws upon a suite of emerging research tools and techniques for detecting, investigating and diagnosing unwanted adverse effects of algorithmic systems. It has been proposed that techniques of this kind might be formalized and institutionalized within a legally mandated regulatory governance framework, through which algorithmic systems … are subject to periodic review and oversight by an external authority staffed by suitably qualified technical specialists. Cukier and Mayer-Schonenberg suggest that a new group of professionals are needed (“algorithmists”) to take on this role, which may constitute a profession akin to that of law, medicine, accounting and engineering and who can be relied upon to undertake the task of algorithmic auditing either as independent and external algorithmists to monitor algorithms from the outside, or by “internal” algorithmists employed by organizations to monitor those developed and deployed by the organization, which can then be subjected to external review.

In , the recommendation has been made that might provide a good middle ground for AI advocates and government – collectively agree on decisions that AI should not make:

Assess which tasks and decision-making functionalities should not be delegated to AI systems, through the use of participatory mechanisms to ensure alignment with societal values and understanding of public opinion. This assessment should take into account existing legislation and be supported by ongoing dialogue between all stakeholders (including government, industry, and civil society) to debate how AI will impact society opinion.

While these three ideas are good starts, they are not cure-all solutions.

What Will the Industry Do?

As mentioned earlier, legal systems around the world will deal with AI accountability one way or another as real-life cases come to bear. Instead of forging ahead with any legally binding and enforceable best practices and codes of ethics, tech companies and tech company collectives should consider aggressively seeking to work cooperatively with governments to find solutions to the AI accountability gap.

]]>
Mark Beccue http://tractica./feed/ 米兜彩票官网Blog
http://tractica./newsroom/press-releases/mobility-as-a-service-is-being-spurred-by-urban-population-growth-with-global-revenue-expected-to-reach-563-3-billion-by-2025/ Mobility as a Service is Being Spurred by Urban Population Growth with Global Revenue Expected to Reach $563.3 Billion by 2025 米兜彩票网-01-15T01:00:18.v-07:00 Mobility as a service (MaaS) programs provide on-demand access to four-wheel and two-wheel vehicles to more efficiently and cost-effectively travel... More Mobility as a service (MaaS) programs provide on-demand access to four-wheel and two-wheel vehicles to more efficiently and cost-effectively travel in urbanized areas. According to a new report from Tractica, MaaS is providing greater accessibility at similar or lower cost to owning a vehicle, empowering people to give up or delay vehicle purchases and rely on shared vehicles for their commute and leisure travel needs.

The global population is moving into and near cities, with the majority of people now living in urban areas. This closer proximity between where people live, work, and play is putting a strain on transportation infrastructure and transit systems. According to senior analyst John Gartner, “A metropolitan area with a coordinated set of transit options and MaaS has the potential to alleviate traffic congestion, reduce traffic accidents and fatalities, enhance accessibility, lower carbon emissions, and provide an improved experience for pedestrians and cyclists.” Applications that enable travelers to compare these services from their mobile phones, such as Trafi or UbiGo, will be of growing importance in enabling consumers to rely on MaaS. Tractica expects the global market for MaaS to grow at a compound annual growth rate (CAGR) of 24.0% to become a $563.3 billion market by 2025.

米兜彩票app

Tractica’s report, “Mobility as a Service”, highlights how MaaS programs such as carsharing and ride-hailing are reaching maturity in their breadth of offerings and business models while two-wheel vehicle sharing and vehicle subscription services are still in their infancy. The report contrasts the competitive advantages and limitations of each MaaS category and highlights the major regional and global players. Tractica provides global and regional 2019-2025 revenue forecasts for ride-hailing, carsharing, vehicle subscriptions, and shared e-scooters and e-bikes. An Executive Summary of the report is available for free download on the firm’s website.

About Tractica

Tractica, an Informa business, is a market intelligence firm that focuses on emerging technologies. Tractica’s global market research and consulting services combine qualitative and quantitative research methodologies to provide a comprehensive view of the emerging market opportunities surrounding Artificial Intelligence, Robotics, User Interface Technologies, Advanced Computing and Connected & Autonomous Vehicles. For more information, visit www.tractica.com or call +1.303.248.3000.

]]>
sherrilhanson http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./artificial-intelligence/adobe-a-good-fit-for-ai-use-cases-in-advertising-and-marketing/ Adobe a Good Fit for AI Use Cases in Advertising and Marketing 米兜彩票网-01-09T09:00:18.v-07:00 In late 2016, Adobe announced that Sensei, the company’s AI technology, would begin to power and assist in some of... More 米兜彩票appadobe-a-good-fit-for-AI-use-cases-in-advertising-and-marketing

In late 2016, Adobe announced that Sensei, the company’s AI technology, would begin to power and assist in some of its Digital Media applications, such as Photoshop and Illustrator. While that was only 3 short years ago, in the dawning of the AI era, Sensei’s role makes Adobe one of the pioneers of machine learning- and deep learning-powered AI. What started in 2016 as narrow AI technology aimed at narrow use cases has become an AI engine that, according to Tatiana Mejia, group Product Marketing manager for Sensei, now powers dozens of different features across Adobe. “We don’t tag any of the features with Sensei, it’s just the engine behind Adobe products,” said Mejia.

Whether the technology is effective or not, the concept is advanced AI thinking. There are a limited number of companies today that have built or are building an AI core to run their business. Only a few come to mind, such as Google, Amazon, Microsoft, Baidu, Alibaba, Tencent, IFlytek, and perhaps Apple and a few others.

Why would such a strategy at such an early stage make sense for a company like Adobe? In Tractica’s opinion, it comes down to this: building a core of AI technologies positions Adobe to address underserved or unserved challenges in its core customer market – the advertising industry.

Adobe Under the Hood

According to Adobe’s latest 10-Q, 97% of revenue for the first 9 months of 2019 came from two segments, Digital Media and Digital Experience. 69% of total revenue came from Adobe’s Digital Media segment, which includes its Creative Cloud offerings. This segment is aimed at creative professionals, mostly in the advertising industry, who develop content. The following slide from Adobe’s November 4, 2019 financial analyst meeting shows the company’s estimate for creative professionals in 2022.

米兜彩票app

(Source: Adobe)

28% of total revenue came from Adobe’s Digital Experience segment. According to the 10-Q, “Digital Experience segment includes analytics, social marketing, targeting, media optimization, digital experience management, cross-channel campaign management, marketing automation, audience management, commerce, premium video delivery and monetization. These enable marketers to measure, personalize and optimize marketing campaigns and digital experiences across channels for optimal marketing performance.” As illustrated in another slide from the recent analyst meeting, Adobe’s strategy for this segment is broader than its Digital Media strategy, cutting across multiple verticals and targeting users from the C-suite to functional managers.

米兜彩票app

(Source: Adobe)

Estimating the AI Opportunity

Tractica maintains a comprehensive database of more than 300 distinct AI use case forecasts. In reviewing Adobe’s Sensei capabilities, we believe the company is positioning itself to address most – if not all – of the areas Tractica has identified as the key use cases for AI in the advertising industry. The key advertising use cases include the following:

  • Human emotion analysis
  • Video content analysis
  • Ad insertions into images and video
  • Performance reporting and analytics of ad campaigns
  • Ad targeting and media buying
  • Voice and speech recognition
  • Querying image content
  • Creative workflow management
  • Preventing advertising fraud

The collective value of the AI software for these use cases between 米兜彩票网 and 2025 is approximately $24 billion, based on Tractica forecasts published in 4Q 2019. Of these use cases, querying image content and creative workflow management, worth $4.8 billion and $1.3 billion, respectively, are key AI use cases addressed within Adobe’s Sensei-fueled Digital Media products and solutions.

When considering the AI opportunity for Adobe’s Digital Experience segment, it wouldn’t seem that human emotion analysis, voice and speech recognition, and preventing advertising fraud use cases are relevant to Adobe services. However, the remaining advertising use cases, video content analysis, ad insertions into images and video, performance reporting and analytics of ad campaigns, and ad targeting and media buying, are relevant. Their cumulative 米兜彩票网-2025 market value is estimated at a healthy $14 billion.

All told, that would add up to an AI use case market opportunity in the advertising industry of $20.1 billion for Adobe. The company is a dominant player as a provider of digital tools for creative professionals, but it faces significant competition on the business side of advertising and marketing and customer experience (CX) from the likes of Salesforce, Oracle, SAP, and others. Can Adobe leverage Sensei to address these use cases and gain a competitive advantage in digital marketing and CX? The next 2-3 years could prove to be a significant battleground in the space.

 

]]>
Mark Beccue http://tractica./feed/ 米兜彩票官网Blog
http://tractica./artificial-intelligence/adobe-a-good-fit-for-ai-use-cases-in-advertising-and-marketing/ Adobe a Good Fit for AI Use Cases in Advertising and Marketing 米兜彩票网-01-09T09:00:18.v-07:00 In late 2016, Adobe announced that Sensei, the company’s AI technology, would begin to power and assist in some of its Digital Media applications, such as Photoshop and Illustrator. While that was only 3 short years ago, in the dawning of the AI era, Sensei’s role makes Adobe one of the pioneers of machine learning- […] 米兜彩票appadobe-a-good-fit-for-AI-use-cases-in-advertising-and-marketing

In late 2016, Adobe announced that Sensei, the company’s AI technology, would begin to power and assist in some of its Digital Media applications, such as Photoshop and Illustrator. While that was only 3 short years ago, in the dawning of the AI era, Sensei’s role makes Adobe one of the pioneers of machine learning- and deep learning-powered AI. What started in 2016 as narrow AI technology aimed at narrow use cases has become an AI engine that, according to Tatiana Mejia, group Product Marketing manager for Sensei, now powers dozens of different features across Adobe. “We don’t tag any of the features with Sensei, it’s just the engine behind Adobe products,” said Mejia.

Whether the technology is effective or not, the concept is advanced AI thinking. There are a limited number of companies today that have built or are building an AI core to run their business. Only a few come to mind, such as Google, Amazon, Microsoft, Baidu, Alibaba, Tencent, IFlytek, and perhaps Apple and a few others.

Why would such a strategy at such an early stage make sense for a company like Adobe? In Tractica’s opinion, it comes down to this: building a core of AI technologies positions Adobe to address underserved or unserved challenges in its core customer market – the advertising industry.

Adobe Under the Hood

According to Adobe’s latest 10-Q, 97% of revenue for the first 9 months of 2019 came from two segments, Digital Media and Digital Experience. 69% of total revenue came from Adobe’s Digital Media segment, which includes its Creative Cloud offerings. This segment is aimed at creative professionals, mostly in the advertising industry, who develop content. The following slide from Adobe’s November 4, 2019 financial analyst meeting shows the company’s estimate for creative professionals in 2022.

米兜彩票app

(Source: Adobe)

28% of total revenue came from Adobe’s Digital Experience segment. According to the 10-Q, “Digital Experience segment includes analytics, social marketing, targeting, media optimization, digital experience management, cross-channel campaign management, marketing automation, audience management, commerce, premium video delivery and monetization. These enable marketers to measure, personalize and optimize marketing campaigns and digital experiences across channels for optimal marketing performance.” As illustrated in another slide from the recent analyst meeting, Adobe’s strategy for this segment is broader than its Digital Media strategy, cutting across multiple verticals and targeting users from the C-suite to functional managers.

米兜彩票app

(Source: Adobe)

Estimating the AI Opportunity

Tractica maintains a comprehensive database of more than 300 distinct AI use case forecasts. In reviewing Adobe’s Sensei capabilities, we believe the company is positioning itself to address most – if not all – of the areas Tractica has identified as the key use cases for AI in the advertising industry. The key advertising use cases include the following:

  • Human emotion analysis
  • Video content analysis
  • Ad insertions into images and video
  • Performance reporting and analytics of ad campaigns
  • Ad targeting and media buying
  • Voice and speech recognition
  • Querying image content
  • Creative workflow management
  • Preventing advertising fraud

The collective value of the AI software for these use cases between 米兜彩票网 and 2025 is approximately $24 billion, based on Tractica forecasts published in 4Q 2019. Of these use cases, querying image content and creative workflow management, worth $4.8 billion and $1.3 billion, respectively, are key AI use cases addressed within Adobe’s Sensei-fueled Digital Media products and solutions.

When considering the AI opportunity for Adobe’s Digital Experience segment, it wouldn’t seem that human emotion analysis, voice and speech recognition, and preventing advertising fraud use cases are relevant to Adobe services. However, the remaining advertising use cases, video content analysis, ad insertions into images and video, performance reporting and analytics of ad campaigns, and ad targeting and media buying, are relevant. Their cumulative 米兜彩票网-2025 market value is estimated at a healthy $14 billion.

All told, that would add up to an AI use case market opportunity in the advertising industry of $20.1 billion for Adobe. The company is a dominant player as a provider of digital tools for creative professionals, but it faces significant competition on the business side of advertising and marketing and customer experience (CX) from the likes of Salesforce, Oracle, SAP, and others. Can Adobe leverage Sensei to address these use cases and gain a competitive advantage in digital marketing and CX? The next 2-3 years could prove to be a significant battleground in the space.

 

]]>
Mark Beccue http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./artificial-intelligence/adobe-a-good-fit-for-ai-use-cases-in-advertising-and-marketing/ Adobe a Good Fit for AI Use Cases in Advertising and Marketing 米兜彩票网-01-09T09:00:18.v-07:00 In late 2016, Adobe announced that Sensei, the company’s AI technology, would begin to power and assist in some of its Digital Media applications, such as Photoshop and Illustrator. While that was only 3 short years ago, in the dawning of the AI era, Sensei’s role makes Adobe one of the pioneers of machine learning- […] 米兜彩票appadobe-a-good-fit-for-AI-use-cases-in-advertising-and-marketing

In late 2016, Adobe announced that Sensei, the company’s AI technology, would begin to power and assist in some of its Digital Media applications, such as Photoshop and Illustrator. While that was only 3 short years ago, in the dawning of the AI era, Sensei’s role makes Adobe one of the pioneers of machine learning- and deep learning-powered AI. What started in 2016 as narrow AI technology aimed at narrow use cases has become an AI engine that, according to Tatiana Mejia, group Product Marketing manager for Sensei, now powers dozens of different features across Adobe. “We don’t tag any of the features with Sensei, it’s just the engine behind Adobe products,” said Mejia.

Whether the technology is effective or not, the concept is advanced AI thinking. There are a limited number of companies today that have built or are building an AI core to run their business. Only a few come to mind, such as Google, Amazon, Microsoft, Baidu, Alibaba, Tencent, IFlytek, and perhaps Apple and a few others.

Why would such a strategy at such an early stage make sense for a company like Adobe? In Tractica’s opinion, it comes down to this: building a core of AI technologies positions Adobe to address underserved or unserved challenges in its core customer market – the advertising industry.

Adobe Under the Hood

According to Adobe’s latest 10-Q, 97% of revenue for the first 9 months of 2019 came from two segments, Digital Media and Digital Experience. 69% of total revenue came from Adobe’s Digital Media segment, which includes its Creative Cloud offerings. This segment is aimed at creative professionals, mostly in the advertising industry, who develop content. The following slide from Adobe’s November 4, 2019 financial analyst meeting shows the company’s estimate for creative professionals in 2022.

米兜彩票app

(Source: Adobe)

28% of total revenue came from Adobe’s Digital Experience segment. According to the 10-Q, “Digital Experience segment includes analytics, social marketing, targeting, media optimization, digital experience management, cross-channel campaign management, marketing automation, audience management, commerce, premium video delivery and monetization. These enable marketers to measure, personalize and optimize marketing campaigns and digital experiences across channels for optimal marketing performance.” As illustrated in another slide from the recent analyst meeting, Adobe’s strategy for this segment is broader than its Digital Media strategy, cutting across multiple verticals and targeting users from the C-suite to functional managers.

米兜彩票app

(Source: Adobe)

Estimating the AI Opportunity

Tractica maintains a comprehensive database of more than 300 distinct AI use case forecasts. In reviewing Adobe’s Sensei capabilities, we believe the company is positioning itself to address most – if not all – of the areas Tractica has identified as the key use cases for AI in the advertising industry. The key advertising use cases include the following:

  • Human emotion analysis
  • Video content analysis
  • Ad insertions into images and video
  • Performance reporting and analytics of ad campaigns
  • Ad targeting and media buying
  • Voice and speech recognition
  • Querying image content
  • Creative workflow management
  • Preventing advertising fraud

The collective value of the AI software for these use cases between 米兜彩票网 and 2025 is approximately $24 billion, based on Tractica forecasts published in 4Q 2019. Of these use cases, querying image content and creative workflow management, worth $4.8 billion and $1.3 billion, respectively, are key AI use cases addressed within Adobe’s Sensei-fueled Digital Media products and solutions.

When considering the AI opportunity for Adobe’s Digital Experience segment, it wouldn’t seem that human emotion analysis, voice and speech recognition, and preventing advertising fraud use cases are relevant to Adobe services. However, the remaining advertising use cases, video content analysis, ad insertions into images and video, performance reporting and analytics of ad campaigns, and ad targeting and media buying, are relevant. Their cumulative 米兜彩票网-2025 market value is estimated at a healthy $14 billion.

All told, that would add up to an AI use case market opportunity in the advertising industry of $20.1 billion for Adobe. The company is a dominant player as a provider of digital tools for creative professionals, but it faces significant competition on the business side of advertising and marketing and customer experience (CX) from the likes of Salesforce, Oracle, SAP, and others. Can Adobe leverage Sensei to address these use cases and gain a competitive advantage in digital marketing and CX? The next 2-3 years could prove to be a significant battleground in the space.

 

]]>
Mark Beccue http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./artificial-intelligence/adobe-a-good-fit-for-ai-use-cases-in-advertising-and-marketing/ Adobe a Good Fit for AI Use Cases in Advertising and Marketing 米兜彩票网-01-09T09:00:18.v-07:00 In late 2016, Adobe announced that Sensei, the company’s AI technology, would begin to power and assist in some of its Digital Media applications, such as Photoshop and Illustrator. While that was only 3 short years ago, in the dawning of the AI era, Sensei’s role makes Adobe one of the pioneers of machine learning- […] 米兜彩票appadobe-a-good-fit-for-AI-use-cases-in-advertising-and-marketing

In late 2016, Adobe announced that Sensei, the company’s AI technology, would begin to power and assist in some of its Digital Media applications, such as Photoshop and Illustrator. While that was only 3 short years ago, in the dawning of the AI era, Sensei’s role makes Adobe one of the pioneers of machine learning- and deep learning-powered AI. What started in 2016 as narrow AI technology aimed at narrow use cases has become an AI engine that, according to Tatiana Mejia, group Product Marketing manager for Sensei, now powers dozens of different features across Adobe. “We don’t tag any of the features with Sensei, it’s just the engine behind Adobe products,” said Mejia.

Whether the technology is effective or not, the concept is advanced AI thinking. There are a limited number of companies today that have built or are building an AI core to run their business. Only a few come to mind, such as Google, Amazon, Microsoft, Baidu, Alibaba, Tencent, IFlytek, and perhaps Apple and a few others.

Why would such a strategy at such an early stage make sense for a company like Adobe? In Tractica’s opinion, it comes down to this: building a core of AI technologies positions Adobe to address underserved or unserved challenges in its core customer market – the advertising industry.

Adobe Under the Hood

According to Adobe’s latest 10-Q, 97% of revenue for the first 9 months of 2019 came from two segments, Digital Media and Digital Experience. 69% of total revenue came from Adobe’s Digital Media segment, which includes its Creative Cloud offerings. This segment is aimed at creative professionals, mostly in the advertising industry, who develop content. The following slide from Adobe’s November 4, 2019 financial analyst meeting shows the company’s estimate for creative professionals in 2022.

米兜彩票app

(Source: Adobe)

28% of total revenue came from Adobe’s Digital Experience segment. According to the 10-Q, “Digital Experience segment includes analytics, social marketing, targeting, media optimization, digital experience management, cross-channel campaign management, marketing automation, audience management, commerce, premium video delivery and monetization. These enable marketers to measure, personalize and optimize marketing campaigns and digital experiences across channels for optimal marketing performance.” As illustrated in another slide from the recent analyst meeting, Adobe’s strategy for this segment is broader than its Digital Media strategy, cutting across multiple verticals and targeting users from the C-suite to functional managers.

米兜彩票app

(Source: Adobe)

Estimating the AI Opportunity

Tractica maintains a comprehensive database of more than 300 distinct AI use case forecasts. In reviewing Adobe’s Sensei capabilities, we believe the company is positioning itself to address most – if not all – of the areas Tractica has identified as the key use cases for AI in the advertising industry. The key advertising use cases include the following:

  • Human emotion analysis
  • Video content analysis
  • Ad insertions into images and video
  • Performance reporting and analytics of ad campaigns
  • Ad targeting and media buying
  • Voice and speech recognition
  • Querying image content
  • Creative workflow management
  • Preventing advertising fraud

The collective value of the AI software for these use cases between 米兜彩票网 and 2025 is approximately $24 billion, based on Tractica forecasts published in 4Q 2019. Of these use cases, querying image content and creative workflow management, worth $4.8 billion and $1.3 billion, respectively, are key AI use cases addressed within Adobe’s Sensei-fueled Digital Media products and solutions.

When considering the AI opportunity for Adobe’s Digital Experience segment, it wouldn’t seem that human emotion analysis, voice and speech recognition, and preventing advertising fraud use cases are relevant to Adobe services. However, the remaining advertising use cases, video content analysis, ad insertions into images and video, performance reporting and analytics of ad campaigns, and ad targeting and media buying, are relevant. Their cumulative 米兜彩票网-2025 market value is estimated at a healthy $14 billion.

All told, that would add up to an AI use case market opportunity in the advertising industry of $20.1 billion for Adobe. The company is a dominant player as a provider of digital tools for creative professionals, but it faces significant competition on the business side of advertising and marketing and customer experience (CX) from the likes of Salesforce, Oracle, SAP, and others. Can Adobe leverage Sensei to address these use cases and gain a competitive advantage in digital marketing and CX? The next 2-3 years could prove to be a significant battleground in the space.

 

]]>
Mark Beccue http://tractica./feed/ 米兜彩票官网Blog
http://tractica./newsroom/press-releases/the-collaborative-robot-market-is-increasingly-competitive-with-traditional-robot-manufacturers-playing-catch-up-as-new-players-enter-the-market/ The Collaborative Robot Market is Increasingly Competitive, with Traditional Robot Manufacturers Playing Catch Up as New Players Enter the Market 米兜彩票网-01-07T04:00:16.v-07:00 The global collaborative robotics (cobot) market is experiencing a strong growth trend that is being driven by factors such as... More The global collaborative robotics (cobot) market is experiencing a strong growth trend that is being driven by factors such as efficiency, quality, and automation of production. According to Tractica, cobots are being adopted in companies large and small, looking to assuage labor shortages and meet the demand for high mix/low volume production.

The benefits of lower costs, increased safety, greater flexibility, rapid setup, and easier training are driving factors for global cobot demand. Traditional robot makers are moving to meet this demand by adapting existing robots or developing and offering new cobots. This trend is a reaction to competition from cobot startups that established the cobot category and have begun to eat into the market share of traditional robots. According to Tractica senior analyst, Glenn Sanders, “The cobot market will be fairly crowded until it begins to mature and consolidate. The industry will see growing diversity in the coming years as startups bring their unique cobots to market to serve various applications.” Tractica expects demand to grow rapidly as more companies realize the benefits of cobots, find new uses for them, and adopt them for their processes.

Tractica’s report, “Collaborative Robots Market Radar”, examines six leading companies in the cobot industry that should be on your radar – ABB, FANUC, Kawasaki, Rethink, Techman and Universal Robots. It discusses the crucial market drivers, challenges, and industry applications for their products and provides a heatmap that illustrates some of their relative strengths. Recommendations for vendors and end users are also included. An Executive Summary of the report is available for free download on the firm’s website.

 

]]>
sherrilhanson http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./newsroom/press-releases/artificial-intelligence-software-market-to-reach-126-0-billion-in-annual-worldwide-revenue-by-2025/ Artificial Intelligence Software Market to Reach $126.0 Billion in Annual Worldwide Revenue by 2025 米兜彩票网-01-06T00:01:04.v-07:00 Artificial intelligence (AI) within the consumer, enterprise, government, and defense sectors is migrating from a conceptual “nice to have?to... More Artificial intelligence (AI) within the consumer, enterprise, government, and defense sectors is migrating from a conceptual “nice to have” to an essential technology driving improvements in quality, efficiency, and speed. According to a new report from Tractica, the top industry sectors where AI is likely to bring major transformation remain those in which there is a clear business case for incorporating AI, rather than pie-in-the-sky use cases that may not generate return on investment for many years.

“The global AI market is entering a new phase in 米兜彩票网 where the narrative is shifting from asking whether AI is viable to declaring that AI is now a requirement for most enterprises that are trying to compete on a global level,” says principal analyst Keith Kirkpatrick.  According to the market intelligence company, AI is likely to thrive in consumer (Internet services), automotive, financial services, telecommunications, and retail industries. Not surprisingly, the consumer sector has demonstrated its ability to capture AI, thanks to the combination of three key factors – large data sets, high-performance hardware and state of the art algorithms. Tractica estimates that many of the top enterprise AI verticals will follow and replicate a strategy similar to the consumer Internet companies. Annual global AI software revenue is forecast to grow from $10.1 billion in 2018 to $126.0 billion by 2025.

米兜彩票app

Tractica’s report, “Artificial Intelligence Market Forecasts”, provides a quantitative assessment of the market opportunity for AI across the consumer, enterprise, government, and defense sectors. The study includes market sizing, segmentation, and forecasts for 333 AI use cases, including more than 200 unique use cases. Tractica has added use cases spread across multiple industries, including energy, manufacturing, retail, consumer, transportation, public sector, media and entertainment, telecommunications, and financial services. Global market forecasts, segmented by use case, technology, geography, revenue type, and meta category, extend through 2025. An Executive Summary of the report is available for free download on the firm’s website.

]]>
sherrilhanson http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./artificial-intelligence/is-neuromorphic-technology-ready-to-take-the-next-steps/ Is Neuromorphic Technology Ready to Take the Next Steps? 2019-12-30T06:00:35.v-07:00 Neuromorphic technology has been around since the 1990s in some form or the other. Early versions of neuromorphic chipsets included... More 米兜彩票appis-neuromorphic-coputing-ready-to-take-the-next-steps

Neuromorphic technology has been around since the 1990s in some form or the other. Early versions of neuromorphic chipsets included SpinNNaker from the University of Manchester and IBM’s TrueNorth. Both of these chipsets won several accolades from the university community and were primarily R&D projects. A recent chip from Intel called Loihi is yet another attempt from a prominent chipmaker to revive interest in neuromorphic technology. With new developments in software tools, the technology has made some leaps and is slowly starting to reach the maturity needed for commercial deployment.

is different from today’s mainstream Von Neumann’s compute paradigm. The Von Neumann architecture separates compute and storage. Data is stored in RAM and is then shuffled to the compute unit to make operations such as convolutions; the results are stored back into RAM. The cost of moving data back and forth often consumes high power and limits the ability to significantly reduce power consumption. In contrast, neuromorphic computing tries to mimic the way the brain works, as compute and storage are colocated. One good outcome of colocation is that it reduces the cost of transferring the data back and forth, thus resulting in significant power savings.

Neuromorphic technology also uses what is called “spikes” to compute. Today’s neural networks work on a frame-by-frame basis in which an image is input to a compute element and the output is the value of that compute operation. The compute operations are repeated until meaningful results are produced. Neuromorphic technology looks at the difference between two frames (spikes). This data is then input to a compute element that outputs spikes, and the operation is repeated to generate meaningful results. Neuromorphic technology fundamentally changes the way computing is done and requires a different kind of network called a spiking neuron network (SNN).

A New Paradigm

Thus, neuromorphic computing can be considered a new hardware and software paradigm. In the last couple of years, there have been many new developments in this field driven by AI. Several neuromorphic chipset companies have entered the market that have successfully raised capital. These include (memristor-based approach), (spiking sensor), (SNN), and so on. is another endorsement from a large corporate entity of the technology.

Neuromorphic chips can be fabricated using existing CMOS technologies, and these chips rely on traditional semiconductor technologies. However, software is where the technology had lagged in terms of making it commercially viable in the past. , a Canada-based company specializing in neuromorphic software, has developed a software tool called Nengo and has published very promising . The company’s paper demonstrates how Loihi can be used to recognize wake words at a very low power consumption and provides a framework to map neural networks into neuromorphic chipsets with trade-offs in accuracy. Applied Brain Research has made tools freely available for download to anyone interested in trying out the technology.

Neuromorphic technology has some prominent critics, though. , one of the fathers of AI, has been vocal about computing and Intel has openly . According to LeCun, neuromorphic computing does not scale very well and the accuracy drops as the size of network increases. He believes that the results are not quite practical for commercial deployments for larger networks.

A Large Opportunity

Nevertheless, neuromorphic computing remains an active area of research in academia and efforts are ongoing to overcome limitations. The startups that have raised capital are planning on going after the edge market, which will be worth $55 billion by 2025, according to Tractica’s estimates. This presents a large opportunity for AI in a wide range of battery-powered consumer devices. Applications such as wake word recognition are on the rise and Alexa-like devices are starting to dominate households. A small SNN running on a neuromorphic chip that provides 10x the power benefit compared to traditional compute architecture might just be enough to enable neuromorphic companies to gain design wins and jump-start adoption of the technology.

 

]]>
Anand Joshi http://tractica./feed/ 米兜彩票官网Blog
http://tractica./artificial-intelligence/is-neuromorphic-technology-ready-to-take-the-next-steps/ Is Neuromorphic Technology Ready to Take the Next Steps? 2019-12-30T06:00:35.v-07:00 Neuromorphic technology has been around since the 1990s in some form or the other. Early versions of neuromorphic chipsets included SpinNNaker from the University of Manchester and IBM’s TrueNorth. Both of these chipsets won several accolades from the university community and were primarily R&D projects. A recent chip from Intel called Loihi is yet another […] 米兜彩票appis-neuromorphic-coputing-ready-to-take-the-next-steps

Neuromorphic technology has been around since the 1990s in some form or the other. Early versions of neuromorphic chipsets included SpinNNaker from the University of Manchester and IBM’s TrueNorth. Both of these chipsets won several accolades from the university community and were primarily R&D projects. A recent chip from Intel called Loihi is yet another attempt from a prominent chipmaker to revive interest in neuromorphic technology. With new developments in software tools, the technology has made some leaps and is slowly starting to reach the maturity needed for commercial deployment.

is different from today’s mainstream Von Neumann’s compute paradigm. The Von Neumann architecture separates compute and storage. Data is stored in RAM and is then shuffled to the compute unit to make operations such as convolutions; the results are stored back into RAM. The cost of moving data back and forth often consumes high power and limits the ability to significantly reduce power consumption. In contrast, neuromorphic computing tries to mimic the way the brain works, as compute and storage are colocated. One good outcome of colocation is that it reduces the cost of transferring the data back and forth, thus resulting in significant power savings.

Neuromorphic technology also uses what is called “spikes” to compute. Today’s neural networks work on a frame-by-frame basis in which an image is input to a compute element and the output is the value of that compute operation. The compute operations are repeated until meaningful results are produced. Neuromorphic technology looks at the difference between two frames (spikes). This data is then input to a compute element that outputs spikes, and the operation is repeated to generate meaningful results. Neuromorphic technology fundamentally changes the way computing is done and requires a different kind of network called a spiking neuron network (SNN).

A New Paradigm

Thus, neuromorphic computing can be considered a new hardware and software paradigm. In the last couple of years, there have been many new developments in this field driven by AI. Several neuromorphic chipset companies have entered the market that have successfully raised capital. These include (memristor-based approach), (spiking sensor), (SNN), and so on. is another endorsement from a large corporate entity of the technology.

Neuromorphic chips can be fabricated using existing CMOS technologies, and these chips rely on traditional semiconductor technologies. However, software is where the technology had lagged in terms of making it commercially viable in the past. , a Canada-based company specializing in neuromorphic software, has developed a software tool called Nengo and has published very promising . The company’s paper demonstrates how Loihi can be used to recognize wake words at a very low power consumption and provides a framework to map neural networks into neuromorphic chipsets with trade-offs in accuracy. Applied Brain Research has made tools freely available for download to anyone interested in trying out the technology.

Neuromorphic technology has some prominent critics, though. , one of the fathers of AI, has been vocal about computing and Intel has openly . According to LeCun, neuromorphic computing does not scale very well and the accuracy drops as the size of network increases. He believes that the results are not quite practical for commercial deployments for larger networks.

A Large Opportunity

Nevertheless, neuromorphic computing remains an active area of research in academia and efforts are ongoing to overcome limitations. The startups that have raised capital are planning on going after the edge market, which will be worth $55 billion by 2025, according to Tractica’s estimates. This presents a large opportunity for AI in a wide range of battery-powered consumer devices. Applications such as wake word recognition are on the rise and Alexa-like devices are starting to dominate households. A small SNN running on a neuromorphic chip that provides 10x the power benefit compared to traditional compute architecture might just be enough to enable neuromorphic companies to gain design wins and jump-start adoption of the technology.

 

]]>
Anand Joshi http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./artificial-intelligence/is-neuromorphic-technology-ready-to-take-the-next-steps/ Is Neuromorphic Technology Ready to Take the Next Steps? 2019-12-30T06:00:35.v-07:00 Neuromorphic technology has been around since the 1990s in some form or the other. Early versions of neuromorphic chipsets included SpinNNaker from the University of Manchester and IBM’s TrueNorth. Both of these chipsets won several accolades from the university community and were primarily R&D projects. A recent chip from Intel called Loihi is yet another […] 米兜彩票appis-neuromorphic-coputing-ready-to-take-the-next-steps

Neuromorphic technology has been around since the 1990s in some form or the other. Early versions of neuromorphic chipsets included SpinNNaker from the University of Manchester and IBM’s TrueNorth. Both of these chipsets won several accolades from the university community and were primarily R&D projects. A recent chip from Intel called Loihi is yet another attempt from a prominent chipmaker to revive interest in neuromorphic technology. With new developments in software tools, the technology has made some leaps and is slowly starting to reach the maturity needed for commercial deployment.

is different from today’s mainstream Von Neumann’s compute paradigm. The Von Neumann architecture separates compute and storage. Data is stored in RAM and is then shuffled to the compute unit to make operations such as convolutions; the results are stored back into RAM. The cost of moving data back and forth often consumes high power and limits the ability to significantly reduce power consumption. In contrast, neuromorphic computing tries to mimic the way the brain works, as compute and storage are colocated. One good outcome of colocation is that it reduces the cost of transferring the data back and forth, thus resulting in significant power savings.

Neuromorphic technology also uses what is called “spikes” to compute. Today’s neural networks work on a frame-by-frame basis in which an image is input to a compute element and the output is the value of that compute operation. The compute operations are repeated until meaningful results are produced. Neuromorphic technology looks at the difference between two frames (spikes). This data is then input to a compute element that outputs spikes, and the operation is repeated to generate meaningful results. Neuromorphic technology fundamentally changes the way computing is done and requires a different kind of network called a spiking neuron network (SNN).

A New Paradigm

Thus, neuromorphic computing can be considered a new hardware and software paradigm. In the last couple of years, there have been many new developments in this field driven by AI. Several neuromorphic chipset companies have entered the market that have successfully raised capital. These include (memristor-based approach), (spiking sensor), (SNN), and so on. is another endorsement from a large corporate entity of the technology.

Neuromorphic chips can be fabricated using existing CMOS technologies, and these chips rely on traditional semiconductor technologies. However, software is where the technology had lagged in terms of making it commercially viable in the past. , a Canada-based company specializing in neuromorphic software, has developed a software tool called Nengo and has published very promising . The company’s paper demonstrates how Loihi can be used to recognize wake words at a very low power consumption and provides a framework to map neural networks into neuromorphic chipsets with trade-offs in accuracy. Applied Brain Research has made tools freely available for download to anyone interested in trying out the technology.

Neuromorphic technology has some prominent critics, though. , one of the fathers of AI, has been vocal about computing and Intel has openly . According to LeCun, neuromorphic computing does not scale very well and the accuracy drops as the size of network increases. He believes that the results are not quite practical for commercial deployments for larger networks.

A Large Opportunity

Nevertheless, neuromorphic computing remains an active area of research in academia and efforts are ongoing to overcome limitations. The startups that have raised capital are planning on going after the edge market, which will be worth $55 billion by 2025, according to Tractica’s estimates. This presents a large opportunity for AI in a wide range of battery-powered consumer devices. Applications such as wake word recognition are on the rise and Alexa-like devices are starting to dominate households. A small SNN running on a neuromorphic chip that provides 10x the power benefit compared to traditional compute architecture might just be enough to enable neuromorphic companies to gain design wins and jump-start adoption of the technology.

 

]]>
Anand Joshi http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./artificial-intelligence/is-neuromorphic-technology-ready-to-take-the-next-steps/ Is Neuromorphic Technology Ready to Take the Next Steps? 2019-12-30T06:00:35.v-07:00 Neuromorphic technology has been around since the 1990s in some form or the other. Early versions of neuromorphic chipsets included SpinNNaker from the University of Manchester and IBM’s TrueNorth. Both of these chipsets won several accolades from the university community and were primarily R&D projects. A recent chip from Intel called Loihi is yet another […] 米兜彩票appis-neuromorphic-coputing-ready-to-take-the-next-steps

Neuromorphic technology has been around since the 1990s in some form or the other. Early versions of neuromorphic chipsets included SpinNNaker from the University of Manchester and IBM’s TrueNorth. Both of these chipsets won several accolades from the university community and were primarily R&D projects. A recent chip from Intel called Loihi is yet another attempt from a prominent chipmaker to revive interest in neuromorphic technology. With new developments in software tools, the technology has made some leaps and is slowly starting to reach the maturity needed for commercial deployment.

is different from today’s mainstream Von Neumann’s compute paradigm. The Von Neumann architecture separates compute and storage. Data is stored in RAM and is then shuffled to the compute unit to make operations such as convolutions; the results are stored back into RAM. The cost of moving data back and forth often consumes high power and limits the ability to significantly reduce power consumption. In contrast, neuromorphic computing tries to mimic the way the brain works, as compute and storage are colocated. One good outcome of colocation is that it reduces the cost of transferring the data back and forth, thus resulting in significant power savings.

Neuromorphic technology also uses what is called “spikes” to compute. Today’s neural networks work on a frame-by-frame basis in which an image is input to a compute element and the output is the value of that compute operation. The compute operations are repeated until meaningful results are produced. Neuromorphic technology looks at the difference between two frames (spikes). This data is then input to a compute element that outputs spikes, and the operation is repeated to generate meaningful results. Neuromorphic technology fundamentally changes the way computing is done and requires a different kind of network called a spiking neuron network (SNN).

A New Paradigm

Thus, neuromorphic computing can be considered a new hardware and software paradigm. In the last couple of years, there have been many new developments in this field driven by AI. Several neuromorphic chipset companies have entered the market that have successfully raised capital. These include (memristor-based approach), (spiking sensor), (SNN), and so on. is another endorsement from a large corporate entity of the technology.

Neuromorphic chips can be fabricated using existing CMOS technologies, and these chips rely on traditional semiconductor technologies. However, software is where the technology had lagged in terms of making it commercially viable in the past. , a Canada-based company specializing in neuromorphic software, has developed a software tool called Nengo and has published very promising . The company’s paper demonstrates how Loihi can be used to recognize wake words at a very low power consumption and provides a framework to map neural networks into neuromorphic chipsets with trade-offs in accuracy. Applied Brain Research has made tools freely available for download to anyone interested in trying out the technology.

Neuromorphic technology has some prominent critics, though. , one of the fathers of AI, has been vocal about computing and Intel has openly . According to LeCun, neuromorphic computing does not scale very well and the accuracy drops as the size of network increases. He believes that the results are not quite practical for commercial deployments for larger networks.

A Large Opportunity

Nevertheless, neuromorphic computing remains an active area of research in academia and efforts are ongoing to overcome limitations. The startups that have raised capital are planning on going after the edge market, which will be worth $55 billion by 2025, according to Tractica’s estimates. This presents a large opportunity for AI in a wide range of battery-powered consumer devices. Applications such as wake word recognition are on the rise and Alexa-like devices are starting to dominate households. A small SNN running on a neuromorphic chip that provides 10x the power benefit compared to traditional compute architecture might just be enough to enable neuromorphic companies to gain design wins and jump-start adoption of the technology.

 

]]>
Anand Joshi http://tractica./feed/ 米兜彩票官网Blog
http://tractica./artificial-intelligence/intel-is-going-all-in-to-dominate-ai-chipset-world/ Intel Is Going All-In to Dominate AI Chipset World 2019-12-27T13:43:47.v-07:00 The AI revolution started in 2012 when neural network AlexNet surpassed the accuracy of all previous classic computer vision techniques,... More 米兜彩票appintel-is-going-all-in-to-dominate-ai-chipset-world

The AI revolution started in 2012 when neural network AlexNet surpassed the accuracy of all previous classic computer vision techniques, and the industry has not looked back since. AI algorithms are compute-sensitive by nature, and the need for accelerating AI algorithms in hardware has long been recognized – with more than 100 companies jumping in with their chipsets.

Intel vs. NVIDIA

Intel is currently locked in battle with NVIDIA to become the world’s dominant AI chipset company. While NVIDIA’s focus is on discrete graphics processing units (GPUs) for AI acceleration, Intel is focusing on central processing units (CPUs) and heterogeneous computing. NVIDIA is unifying its software development environment via CUDA and Intel has embarked on enabling software unification via OpenVINO and oneAPI for different architectures. All the new chipsets are expected to be supported by the OpenVINO Toolkit at launch, making it easier for developers to switch environments.

Battle Cry

Intel has had a flurry of announcements recently, suggesting that it is taking the battle to dominate the AI chipset world to a new level. At the recent , the company announced many products that have been “several years in the making” and followed up with additional announcements soon afterwards at . Then there are also rumors regarding Intel’s potential acquisition of AI startup Habana Labs. The announcements are as follows:

  • Focusing on the inference market, Intel announced that the next-generation Xeon (codenamed Cooper Lake) will support . The bfloat16 is a popular format in the AI inference world that offers a larger number than the half-precision floating point used previously. Intel also announced a software package called Deep Learning Boost that uses the enhanced microarchitecture to improve convolution performance. This new microarchitecture combines three instructions into one to perform convolution, thus generating higher performance.
  • Nervana chipsets are finally hitting the market, and Intel announced early benchmark results of its NNP-I chipset. The benchmarks were generated using its early hardware and alpha software stack. Intel expressed optimism that the numbers will get even better as the product matures.

Intel’s AI Portfolio

米兜彩票app

(Source: Intel)

  • Intel also announced the availability of the , its training chipset and early customer engagement with Baidu. It demonstrated a 32-card cross-chassis system in 1U form factor. Intel claimed that it can achieve scaling to a few thousand of these cards via PCIe Express connectivity of up to a theoretical limit of 1,024 cards. The company states it has achieved up to 95% scaling with Resnet-50 and BERT, as measured on 32 cards.
  • Intel’s next-generation low power AI chipset from Movidius, codenamed Keem Bay, is expected to be released in the first half of 米兜彩票网. Although no concrete details were provided on performance and power numbers, Intel announced that it will offer more than 4x the raw inference throughput of NVIDIA’s TX2, putting it at 4 TOPS. The chip is expected to consume one-third less power for the same performance. It is a low power solution with a size of 72 square millimeters.
  • Intel has also announced the for the edge. The cloud comes pre-loaded with software and hardware consisting of Intel’s CPU, GPU, field-programmable gate array (FPGA), and application-specific integrated circuit (ASIC; Movidius). Using the cloud, developers can choose device(s) for algorithm acceleration and then decide which is the best choice for them. The cloud also offers tutorials and code samples for the developers to get started.
  • At Supercomputing 2019, Intel announced its long-awaited These new chipsets will allow Intel to create its own discrete GPU accelerator cards for the enterprise and consumer markets and will put it in head-to-head competition with NVIDIA.
  • Finally, there are rumors that Intel is in discussion with Habana to . Habana is the only startup in the AI chipset world to have demonstrated its products for inference as well as training, and its products are qualified by .

Battle for Supremacy: Time Will Tell

Intel has already acquired several companies, including Mobileye, Movidius, and Nervana. It also has a neuromorphic chipset called Loihi, which demonstrates that the company is keeping the long-term play in mind. With the new acquisition of Habana, Intel has signaled its willingness to go all-in to battle for supremacy in the AI chipset market.

At the AI Summit, Intel announced that it had generated $3.5 billion in AI chipset revenue in 2019, with the bulk of revenue coming from AI inference workloads. This leaves a large market that can be addressed with the company’s chipsets. Intel is ensuring that all the bases are covered via oneAPI, which supports many different software platforms. Only time will tell how this plays out.

]]>
Anand Joshi http://tractica./feed/ 米兜彩票官网Blog
http://tractica./artificial-intelligence/intel-is-going-all-in-to-dominate-ai-chipset-world/ Intel Is Going All-In to Dominate AI Chipset World 2019-12-27T13:43:47.v-07:00 The AI revolution started in 2012 when neural network AlexNet surpassed the accuracy of all previous classic computer vision techniques, and the industry has not looked back since. AI algorithms are compute-sensitive by nature, and the need for accelerating AI algorithms in hardware has long been recognized ?with more than 100 companies jumping in […] 米兜彩票appintel-is-going-all-in-to-dominate-ai-chipset-world

The AI revolution started in 2012 when neural network AlexNet surpassed the accuracy of all previous classic computer vision techniques, and the industry has not looked back since. AI algorithms are compute-sensitive by nature, and the need for accelerating AI algorithms in hardware has long been recognized – with more than 100 companies jumping in with their chipsets.

Intel vs. NVIDIA

Intel is currently locked in battle with NVIDIA to become the world’s dominant AI chipset company. While NVIDIA’s focus is on discrete graphics processing units (GPUs) for AI acceleration, Intel is focusing on central processing units (CPUs) and heterogeneous computing. NVIDIA is unifying its software development environment via CUDA and Intel has embarked on enabling software unification via OpenVINO and oneAPI for different architectures. All the new chipsets are expected to be supported by the OpenVINO Toolkit at launch, making it easier for developers to switch environments.

Battle Cry

Intel has had a flurry of announcements recently, suggesting that it is taking the battle to dominate the AI chipset world to a new level. At the recent , the company announced many products that have been “several years in the making” and followed up with additional announcements soon afterwards at . Then there are also rumors regarding Intel’s potential acquisition of AI startup Habana Labs. The announcements are as follows:

  • Focusing on the inference market, Intel announced that the next-generation Xeon (codenamed Cooper Lake) will support . The bfloat16 is a popular format in the AI inference world that offers a larger number than the half-precision floating point used previously. Intel also announced a software package called Deep Learning Boost that uses the enhanced microarchitecture to improve convolution performance. This new microarchitecture combines three instructions into one to perform convolution, thus generating higher performance.
  • Nervana chipsets are finally hitting the market, and Intel announced early benchmark results of its NNP-I chipset. The benchmarks were generated using its early hardware and alpha software stack. Intel expressed optimism that the numbers will get even better as the product matures.

Intel’s AI Portfolio

米兜彩票app

(Source: Intel)

  • Intel also announced the availability of the , its training chipset and early customer engagement with Baidu. It demonstrated a 32-card cross-chassis system in 1U form factor. Intel claimed that it can achieve scaling to a few thousand of these cards via PCIe Express connectivity of up to a theoretical limit of 1,024 cards. The company states it has achieved up to 95% scaling with Resnet-50 and BERT, as measured on 32 cards.
  • Intel’s next-generation low power AI chipset from Movidius, codenamed Keem Bay, is expected to be released in the first half of 米兜彩票网. Although no concrete details were provided on performance and power numbers, Intel announced that it will offer more than 4x the raw inference throughput of NVIDIA’s TX2, putting it at 4 TOPS. The chip is expected to consume one-third less power for the same performance. It is a low power solution with a size of 72 square millimeters.
  • Intel has also announced the for the edge. The cloud comes pre-loaded with software and hardware consisting of Intel’s CPU, GPU, field-programmable gate array (FPGA), and application-specific integrated circuit (ASIC; Movidius). Using the cloud, developers can choose device(s) for algorithm acceleration and then decide which is the best choice for them. The cloud also offers tutorials and code samples for the developers to get started.
  • At Supercomputing 2019, Intel announced its long-awaited These new chipsets will allow Intel to create its own discrete GPU accelerator cards for the enterprise and consumer markets and will put it in head-to-head competition with NVIDIA.
  • Finally, there are rumors that Intel is in discussion with Habana to . Habana is the only startup in the AI chipset world to have demonstrated its products for inference as well as training, and its products are qualified by .

Battle for Supremacy: Time Will Tell

Intel has already acquired several companies, including Mobileye, Movidius, and Nervana. It also has a neuromorphic chipset called Loihi, which demonstrates that the company is keeping the long-term play in mind. With the new acquisition of Habana, Intel has signaled its willingness to go all-in to battle for supremacy in the AI chipset market.

At the AI Summit, Intel announced that it had generated $3.5 billion in AI chipset revenue in 2019, with the bulk of revenue coming from AI inference workloads. This leaves a large market that can be addressed with the company’s chipsets. Intel is ensuring that all the bases are covered via oneAPI, which supports many different software platforms. Only time will tell how this plays out.

]]>
Anand Joshi http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./artificial-intelligence/intel-is-going-all-in-to-dominate-ai-chipset-world/ Intel Is Going All-In to Dominate AI Chipset World 2019-12-27T13:43:47.v-07:00 The AI revolution started in 2012 when neural network AlexNet surpassed the accuracy of all previous classic computer vision techniques, and the industry has not looked back since. AI algorithms are compute-sensitive by nature, and the need for accelerating AI algorithms in hardware has long been recognized ?with more than 100 companies jumping in […] 米兜彩票appintel-is-going-all-in-to-dominate-ai-chipset-world

The AI revolution started in 2012 when neural network AlexNet surpassed the accuracy of all previous classic computer vision techniques, and the industry has not looked back since. AI algorithms are compute-sensitive by nature, and the need for accelerating AI algorithms in hardware has long been recognized – with more than 100 companies jumping in with their chipsets.

Intel vs. NVIDIA

Intel is currently locked in battle with NVIDIA to become the world’s dominant AI chipset company. While NVIDIA’s focus is on discrete graphics processing units (GPUs) for AI acceleration, Intel is focusing on central processing units (CPUs) and heterogeneous computing. NVIDIA is unifying its software development environment via CUDA and Intel has embarked on enabling software unification via OpenVINO and oneAPI for different architectures. All the new chipsets are expected to be supported by the OpenVINO Toolkit at launch, making it easier for developers to switch environments.

Battle Cry

Intel has had a flurry of announcements recently, suggesting that it is taking the battle to dominate the AI chipset world to a new level. At the recent , the company announced many products that have been “several years in the making” and followed up with additional announcements soon afterwards at . Then there are also rumors regarding Intel’s potential acquisition of AI startup Habana Labs. The announcements are as follows:

  • Focusing on the inference market, Intel announced that the next-generation Xeon (codenamed Cooper Lake) will support . The bfloat16 is a popular format in the AI inference world that offers a larger number than the half-precision floating point used previously. Intel also announced a software package called Deep Learning Boost that uses the enhanced microarchitecture to improve convolution performance. This new microarchitecture combines three instructions into one to perform convolution, thus generating higher performance.
  • Nervana chipsets are finally hitting the market, and Intel announced early benchmark results of its NNP-I chipset. The benchmarks were generated using its early hardware and alpha software stack. Intel expressed optimism that the numbers will get even better as the product matures.

Intel’s AI Portfolio

米兜彩票app

(Source: Intel)

  • Intel also announced the availability of the , its training chipset and early customer engagement with Baidu. It demonstrated a 32-card cross-chassis system in 1U form factor. Intel claimed that it can achieve scaling to a few thousand of these cards via PCIe Express connectivity of up to a theoretical limit of 1,024 cards. The company states it has achieved up to 95% scaling with Resnet-50 and BERT, as measured on 32 cards.
  • Intel’s next-generation low power AI chipset from Movidius, codenamed Keem Bay, is expected to be released in the first half of 米兜彩票网. Although no concrete details were provided on performance and power numbers, Intel announced that it will offer more than 4x the raw inference throughput of NVIDIA’s TX2, putting it at 4 TOPS. The chip is expected to consume one-third less power for the same performance. It is a low power solution with a size of 72 square millimeters.
  • Intel has also announced the for the edge. The cloud comes pre-loaded with software and hardware consisting of Intel’s CPU, GPU, field-programmable gate array (FPGA), and application-specific integrated circuit (ASIC; Movidius). Using the cloud, developers can choose device(s) for algorithm acceleration and then decide which is the best choice for them. The cloud also offers tutorials and code samples for the developers to get started.
  • At Supercomputing 2019, Intel announced its long-awaited These new chipsets will allow Intel to create its own discrete GPU accelerator cards for the enterprise and consumer markets and will put it in head-to-head competition with NVIDIA.
  • Finally, there are rumors that Intel is in discussion with Habana to . Habana is the only startup in the AI chipset world to have demonstrated its products for inference as well as training, and its products are qualified by .

Battle for Supremacy: Time Will Tell

Intel has already acquired several companies, including Mobileye, Movidius, and Nervana. It also has a neuromorphic chipset called Loihi, which demonstrates that the company is keeping the long-term play in mind. With the new acquisition of Habana, Intel has signaled its willingness to go all-in to battle for supremacy in the AI chipset market.

At the AI Summit, Intel announced that it had generated $3.5 billion in AI chipset revenue in 2019, with the bulk of revenue coming from AI inference workloads. This leaves a large market that can be addressed with the company’s chipsets. Intel is ensuring that all the bases are covered via oneAPI, which supports many different software platforms. Only time will tell how this plays out.

]]>
Anand Joshi http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./artificial-intelligence/intel-is-going-all-in-to-dominate-ai-chipset-world/ Intel Is Going All-In to Dominate AI Chipset World 2019-12-27T13:43:47.v-07:00 The AI revolution started in 2012 when neural network AlexNet surpassed the accuracy of all previous classic computer vision techniques, and the industry has not looked back since. AI algorithms are compute-sensitive by nature, and the need for accelerating AI algorithms in hardware has long been recognized ?with more than 100 companies jumping in […] 米兜彩票appintel-is-going-all-in-to-dominate-ai-chipset-world

The AI revolution started in 2012 when neural network AlexNet surpassed the accuracy of all previous classic computer vision techniques, and the industry has not looked back since. AI algorithms are compute-sensitive by nature, and the need for accelerating AI algorithms in hardware has long been recognized – with more than 100 companies jumping in with their chipsets.

Intel vs. NVIDIA

Intel is currently locked in battle with NVIDIA to become the world’s dominant AI chipset company. While NVIDIA’s focus is on discrete graphics processing units (GPUs) for AI acceleration, Intel is focusing on central processing units (CPUs) and heterogeneous computing. NVIDIA is unifying its software development environment via CUDA and Intel has embarked on enabling software unification via OpenVINO and oneAPI for different architectures. All the new chipsets are expected to be supported by the OpenVINO Toolkit at launch, making it easier for developers to switch environments.

Battle Cry

Intel has had a flurry of announcements recently, suggesting that it is taking the battle to dominate the AI chipset world to a new level. At the recent , the company announced many products that have been “several years in the making” and followed up with additional announcements soon afterwards at . Then there are also rumors regarding Intel’s potential acquisition of AI startup Habana Labs. The announcements are as follows:

  • Focusing on the inference market, Intel announced that the next-generation Xeon (codenamed Cooper Lake) will support . The bfloat16 is a popular format in the AI inference world that offers a larger number than the half-precision floating point used previously. Intel also announced a software package called Deep Learning Boost that uses the enhanced microarchitecture to improve convolution performance. This new microarchitecture combines three instructions into one to perform convolution, thus generating higher performance.
  • Nervana chipsets are finally hitting the market, and Intel announced early benchmark results of its NNP-I chipset. The benchmarks were generated using its early hardware and alpha software stack. Intel expressed optimism that the numbers will get even better as the product matures.

Intel’s AI Portfolio

米兜彩票app

(Source: Intel)

  • Intel also announced the availability of the , its training chipset and early customer engagement with Baidu. It demonstrated a 32-card cross-chassis system in 1U form factor. Intel claimed that it can achieve scaling to a few thousand of these cards via PCIe Express connectivity of up to a theoretical limit of 1,024 cards. The company states it has achieved up to 95% scaling with Resnet-50 and BERT, as measured on 32 cards.
  • Intel’s next-generation low power AI chipset from Movidius, codenamed Keem Bay, is expected to be released in the first half of 米兜彩票网. Although no concrete details were provided on performance and power numbers, Intel announced that it will offer more than 4x the raw inference throughput of NVIDIA’s TX2, putting it at 4 TOPS. The chip is expected to consume one-third less power for the same performance. It is a low power solution with a size of 72 square millimeters.
  • Intel has also announced the for the edge. The cloud comes pre-loaded with software and hardware consisting of Intel’s CPU, GPU, field-programmable gate array (FPGA), and application-specific integrated circuit (ASIC; Movidius). Using the cloud, developers can choose device(s) for algorithm acceleration and then decide which is the best choice for them. The cloud also offers tutorials and code samples for the developers to get started.
  • At Supercomputing 2019, Intel announced its long-awaited These new chipsets will allow Intel to create its own discrete GPU accelerator cards for the enterprise and consumer markets and will put it in head-to-head competition with NVIDIA.
  • Finally, there are rumors that Intel is in discussion with Habana to . Habana is the only startup in the AI chipset world to have demonstrated its products for inference as well as training, and its products are qualified by .

Battle for Supremacy: Time Will Tell

Intel has already acquired several companies, including Mobileye, Movidius, and Nervana. It also has a neuromorphic chipset called Loihi, which demonstrates that the company is keeping the long-term play in mind. With the new acquisition of Habana, Intel has signaled its willingness to go all-in to battle for supremacy in the AI chipset market.

At the AI Summit, Intel announced that it had generated $3.5 billion in AI chipset revenue in 2019, with the bulk of revenue coming from AI inference workloads. This leaves a large market that can be addressed with the company’s chipsets. Intel is ensuring that all the bases are covered via oneAPI, which supports many different software platforms. Only time will tell how this plays out.

]]>
Anand Joshi http://tractica./feed/ 米兜彩票官网Blog
http://tractica./artificial-intelligence/will-video-analytics-save-the-retail-market/ Will Video Analytics Save the Retail Market? 2019-12-02T14:15:04.v-07:00 Computer vision has continued to evolve in recent years, and in many cases, the technology has surpassed the accuracy of... More 米兜彩票appwill-video-analytics-save-the-retail-market

Computer vision has continued to evolve in recent years, and in many cases, the technology has surpassed the accuracy of human vision. It has enabled many applications that were considered science fiction just a short time ago. The rise of artificial intelligence (AI) has been instrumental in getting computer vision to the level of accuracy that the market demands. Meanwhile, a new application for computer vision called video analytics has emerged. Video analytics basically extracts data from incoming video and generates results that are meaningful to humans.

Over the years, many businesses have been fitted with security infrastructure consisting of networked cameras and network video recorders. Historically, that data was discarded or stored for further analysis. A security guard had to watch the screen to detect any security threats. Video analytics has shaken up that landscape by not only eliminating the need for guards, but also providing users with alerts for security threats. Security has been the primary driver of video analytics solutions, and several companies offer products for the security needs of businesses.

Improving Business Intelligence

Many users and vendors quickly realized that the output of such systems can also be used for business intelligence purposes. Output data generated by video analytics has been utilized for marketing, operations analysis, and other business intelligence purposes. The retail industry, which has been struggling to keep up with the , was one of the first to jump on the opportunity to enable business intelligence using video analytics.

There are multitudes of use cases for video analytics in retail business intelligence, and usage has been increasing steadily in recent years. For example, by analyzing the same camera feed used for security, users can count the number of people, their interactions with different merchandise within store, their traffic patterns, and so on. This feature of video analytics systems has enabled retailers to improve many aspects of their business, including marketing (e.g., analyzing whether signs and merchandise got enough attention), operations optimization (e.g., if the line is long, send additional counter clerks), and merchandise placement (e.g., place items where there is most traffic). Many video analytics vendors such as Avigilon and BriefCam have benefited from demand for business intelligence.

Improving the Shopping Experience

In addition to the analytics, new companies are emerging that are trying to improve the retail shopping experience. Amazon has led the innovation by introducing , which eliminates the need for a checkout counter. This application makes the overall shopping experience as easy as taking a stroll in a grocery store for consumers. Since then, many companies have emerged in the space, and they are all trying to enhance the shopping experience. , for example, is a San Francisco-based company that has raised over $86 million. Another startup called has raised $15 million in capital.

The retail industry has also helped fuel the first unicorn ($1 billion valuation) in video analytics. , a company headquartered in Singapore, achieved that status by reaching a valuation with its latest round of funding. Trax focuses solely on retail and provides shelf optimization solutions. The company started out providing services and solutions to retail merchandise brands such as Coca-Cola. Its original solutions provided clients with a mobile application that their field agents used to take pictures in a retail outlet that were then uploaded to Trax servers. Trax then ran AI algorithms to come up with pertinent analytics for shelf optimization to generate visibility and optimize sales. The company has since diversified and has a large portfolio of products and solutions for retail.

Improving Retail Growth

Over the last 5 years, the video analytics industry has provided benefits to many verticals, and retail is yet another example of that. A new generation of video analytics products that are being targeted toward specific verticals is starting to hit the market. The retail vertical is making the best use of the analytics offered by the rich data sources provided by video. Proper usage of video analytics technology can potentially help put retail back on a growth path that has been missing for the past few years.

]]>
Anand Joshi http://tractica./feed/ 米兜彩票官网Blog
http://tractica./artificial-intelligence/will-video-analytics-save-the-retail-market/ Will Video Analytics Save the Retail Market? 2019-12-02T14:15:04.v-07:00 Computer vision has continued to evolve in recent years, and in many cases, the technology has surpassed the accuracy of human vision. It has enabled many applications that were considered science fiction just a short time ago. The rise of artificial intelligence (AI) has been instrumental in getting computer vision to the level of accuracy […] 米兜彩票appwill-video-analytics-save-the-retail-market

Computer vision has continued to evolve in recent years, and in many cases, the technology has surpassed the accuracy of human vision. It has enabled many applications that were considered science fiction just a short time ago. The rise of artificial intelligence (AI) has been instrumental in getting computer vision to the level of accuracy that the market demands. Meanwhile, a new application for computer vision called video analytics has emerged. Video analytics basically extracts data from incoming video and generates results that are meaningful to humans.

Over the years, many businesses have been fitted with security infrastructure consisting of networked cameras and network video recorders. Historically, that data was discarded or stored for further analysis. A security guard had to watch the screen to detect any security threats. Video analytics has shaken up that landscape by not only eliminating the need for guards, but also providing users with alerts for security threats. Security has been the primary driver of video analytics solutions, and several companies offer products for the security needs of businesses.

Improving Business Intelligence

Many users and vendors quickly realized that the output of such systems can also be used for business intelligence purposes. Output data generated by video analytics has been utilized for marketing, operations analysis, and other business intelligence purposes. The retail industry, which has been struggling to keep up with the , was one of the first to jump on the opportunity to enable business intelligence using video analytics.

There are multitudes of use cases for video analytics in retail business intelligence, and usage has been increasing steadily in recent years. For example, by analyzing the same camera feed used for security, users can count the number of people, their interactions with different merchandise within store, their traffic patterns, and so on. This feature of video analytics systems has enabled retailers to improve many aspects of their business, including marketing (e.g., analyzing whether signs and merchandise got enough attention), operations optimization (e.g., if the line is long, send additional counter clerks), and merchandise placement (e.g., place items where there is most traffic). Many video analytics vendors such as Avigilon and BriefCam have benefited from demand for business intelligence.

Improving the Shopping Experience

In addition to the analytics, new companies are emerging that are trying to improve the retail shopping experience. Amazon has led the innovation by introducing , which eliminates the need for a checkout counter. This application makes the overall shopping experience as easy as taking a stroll in a grocery store for consumers. Since then, many companies have emerged in the space, and they are all trying to enhance the shopping experience. , for example, is a San Francisco-based company that has raised over $86 million. Another startup called has raised $15 million in capital.

The retail industry has also helped fuel the first unicorn ($1 billion valuation) in video analytics. , a company headquartered in Singapore, achieved that status by reaching a valuation with its latest round of funding. Trax focuses solely on retail and provides shelf optimization solutions. The company started out providing services and solutions to retail merchandise brands such as Coca-Cola. Its original solutions provided clients with a mobile application that their field agents used to take pictures in a retail outlet that were then uploaded to Trax servers. Trax then ran AI algorithms to come up with pertinent analytics for shelf optimization to generate visibility and optimize sales. The company has since diversified and has a large portfolio of products and solutions for retail.

Improving Retail Growth

Over the last 5 years, the video analytics industry has provided benefits to many verticals, and retail is yet another example of that. A new generation of video analytics products that are being targeted toward specific verticals is starting to hit the market. The retail vertical is making the best use of the analytics offered by the rich data sources provided by video. Proper usage of video analytics technology can potentially help put retail back on a growth path that has been missing for the past few years.

]]>
Anand Joshi http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./artificial-intelligence/will-video-analytics-save-the-retail-market/ Will Video Analytics Save the Retail Market? 2019-12-02T14:15:04.v-07:00 Computer vision has continued to evolve in recent years, and in many cases, the technology has surpassed the accuracy of human vision. It has enabled many applications that were considered science fiction just a short time ago. The rise of artificial intelligence (AI) has been instrumental in getting computer vision to the level of accuracy […] 米兜彩票appwill-video-analytics-save-the-retail-market

Computer vision has continued to evolve in recent years, and in many cases, the technology has surpassed the accuracy of human vision. It has enabled many applications that were considered science fiction just a short time ago. The rise of artificial intelligence (AI) has been instrumental in getting computer vision to the level of accuracy that the market demands. Meanwhile, a new application for computer vision called video analytics has emerged. Video analytics basically extracts data from incoming video and generates results that are meaningful to humans.

Over the years, many businesses have been fitted with security infrastructure consisting of networked cameras and network video recorders. Historically, that data was discarded or stored for further analysis. A security guard had to watch the screen to detect any security threats. Video analytics has shaken up that landscape by not only eliminating the need for guards, but also providing users with alerts for security threats. Security has been the primary driver of video analytics solutions, and several companies offer products for the security needs of businesses.

Improving Business Intelligence

Many users and vendors quickly realized that the output of such systems can also be used for business intelligence purposes. Output data generated by video analytics has been utilized for marketing, operations analysis, and other business intelligence purposes. The retail industry, which has been struggling to keep up with the , was one of the first to jump on the opportunity to enable business intelligence using video analytics.

There are multitudes of use cases for video analytics in retail business intelligence, and usage has been increasing steadily in recent years. For example, by analyzing the same camera feed used for security, users can count the number of people, their interactions with different merchandise within store, their traffic patterns, and so on. This feature of video analytics systems has enabled retailers to improve many aspects of their business, including marketing (e.g., analyzing whether signs and merchandise got enough attention), operations optimization (e.g., if the line is long, send additional counter clerks), and merchandise placement (e.g., place items where there is most traffic). Many video analytics vendors such as Avigilon and BriefCam have benefited from demand for business intelligence.

Improving the Shopping Experience

In addition to the analytics, new companies are emerging that are trying to improve the retail shopping experience. Amazon has led the innovation by introducing , which eliminates the need for a checkout counter. This application makes the overall shopping experience as easy as taking a stroll in a grocery store for consumers. Since then, many companies have emerged in the space, and they are all trying to enhance the shopping experience. , for example, is a San Francisco-based company that has raised over $86 million. Another startup called has raised $15 million in capital.

The retail industry has also helped fuel the first unicorn ($1 billion valuation) in video analytics. , a company headquartered in Singapore, achieved that status by reaching a valuation with its latest round of funding. Trax focuses solely on retail and provides shelf optimization solutions. The company started out providing services and solutions to retail merchandise brands such as Coca-Cola. Its original solutions provided clients with a mobile application that their field agents used to take pictures in a retail outlet that were then uploaded to Trax servers. Trax then ran AI algorithms to come up with pertinent analytics for shelf optimization to generate visibility and optimize sales. The company has since diversified and has a large portfolio of products and solutions for retail.

Improving Retail Growth

Over the last 5 years, the video analytics industry has provided benefits to many verticals, and retail is yet another example of that. A new generation of video analytics products that are being targeted toward specific verticals is starting to hit the market. The retail vertical is making the best use of the analytics offered by the rich data sources provided by video. Proper usage of video analytics technology can potentially help put retail back on a growth path that has been missing for the past few years.

]]>
Anand Joshi http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./artificial-intelligence/will-video-analytics-save-the-retail-market/ Will Video Analytics Save the Retail Market? 2019-12-02T14:15:04.v-07:00 Computer vision has continued to evolve in recent years, and in many cases, the technology has surpassed the accuracy of human vision. It has enabled many applications that were considered science fiction just a short time ago. The rise of artificial intelligence (AI) has been instrumental in getting computer vision to the level of accuracy […] 米兜彩票appwill-video-analytics-save-the-retail-market

Computer vision has continued to evolve in recent years, and in many cases, the technology has surpassed the accuracy of human vision. It has enabled many applications that were considered science fiction just a short time ago. The rise of artificial intelligence (AI) has been instrumental in getting computer vision to the level of accuracy that the market demands. Meanwhile, a new application for computer vision called video analytics has emerged. Video analytics basically extracts data from incoming video and generates results that are meaningful to humans.

Over the years, many businesses have been fitted with security infrastructure consisting of networked cameras and network video recorders. Historically, that data was discarded or stored for further analysis. A security guard had to watch the screen to detect any security threats. Video analytics has shaken up that landscape by not only eliminating the need for guards, but also providing users with alerts for security threats. Security has been the primary driver of video analytics solutions, and several companies offer products for the security needs of businesses.

Improving Business Intelligence

Many users and vendors quickly realized that the output of such systems can also be used for business intelligence purposes. Output data generated by video analytics has been utilized for marketing, operations analysis, and other business intelligence purposes. The retail industry, which has been struggling to keep up with the , was one of the first to jump on the opportunity to enable business intelligence using video analytics.

There are multitudes of use cases for video analytics in retail business intelligence, and usage has been increasing steadily in recent years. For example, by analyzing the same camera feed used for security, users can count the number of people, their interactions with different merchandise within store, their traffic patterns, and so on. This feature of video analytics systems has enabled retailers to improve many aspects of their business, including marketing (e.g., analyzing whether signs and merchandise got enough attention), operations optimization (e.g., if the line is long, send additional counter clerks), and merchandise placement (e.g., place items where there is most traffic). Many video analytics vendors such as Avigilon and BriefCam have benefited from demand for business intelligence.

Improving the Shopping Experience

In addition to the analytics, new companies are emerging that are trying to improve the retail shopping experience. Amazon has led the innovation by introducing , which eliminates the need for a checkout counter. This application makes the overall shopping experience as easy as taking a stroll in a grocery store for consumers. Since then, many companies have emerged in the space, and they are all trying to enhance the shopping experience. , for example, is a San Francisco-based company that has raised over $86 million. Another startup called has raised $15 million in capital.

The retail industry has also helped fuel the first unicorn ($1 billion valuation) in video analytics. , a company headquartered in Singapore, achieved that status by reaching a valuation with its latest round of funding. Trax focuses solely on retail and provides shelf optimization solutions. The company started out providing services and solutions to retail merchandise brands such as Coca-Cola. Its original solutions provided clients with a mobile application that their field agents used to take pictures in a retail outlet that were then uploaded to Trax servers. Trax then ran AI algorithms to come up with pertinent analytics for shelf optimization to generate visibility and optimize sales. The company has since diversified and has a large portfolio of products and solutions for retail.

Improving Retail Growth

Over the last 5 years, the video analytics industry has provided benefits to many verticals, and retail is yet another example of that. A new generation of video analytics products that are being targeted toward specific verticals is starting to hit the market. The retail vertical is making the best use of the analytics offered by the rich data sources provided by video. Proper usage of video analytics technology can potentially help put retail back on a growth path that has been missing for the past few years.

]]>
Anand Joshi http://tractica./feed/ 米兜彩票官网Blog
http://tractica./newsroom/press-releases/virtual-digital-assistant-use-cases-expand-in-the-enterprise-sector-driving-software-revenue-to-8-9-billion-in-2025/ Virtual Digital Assistant Use Cases Expand in the Enterprise Sector, Driving Software Revenue to $8.9 Billion in 2025 2019-11-25T06:30:48.v-07:00 Significant advances in combining natural language processing (NLP) with other forms of artificial intelligence (AI), primarily machine learning and deep... More Significant advances in combining natural language processing (NLP) with other forms of artificial intelligence (AI), primarily machine learning and deep learning, are making enterprise virtual digital assistants (VDAs) more intelligent and useful. Over the next 3 to 5 years, natural language AI will continue to improve and sentiment and emotion recognition AI will evolve. According to a new report from Tractica, these advancements and other market factors have expanded the use cases for enterprise AI-driven VDAs beyond customer service & marketing into other applications which will generate significant direct software revenue.

VDAs will become an increasingly significant interface that enterprises can use for both externally-facing and internally-facing purposes. Externally-facing use cases include handling customer service, marketing, and commerce transactions, while internally-facing use cases include running enterprise application software, productivity and collaboration applications, and administration functions. Tractica forecasts strong growth in enterprise VDA software revenue, rising from $1.3 billion in 2018 to more than $8.9 billion in 2025.

米兜彩票app

“While the use of VDAs has not reached mass-market adoption at either the global or country level, the market for AI-driven enterprise VDAs is beginning to show signs of maturity, particularly for the customer service & marketing use case,” says principal analyst Mark Beccue. “VDAs in these application areas are becoming more common and vendors are able to show real-life ROI.”

Tractica’s report, “Virtual Digital Assistants for Enterprise Applications”, examines the market and technology issues surrounding enterprise VDAs and presents profiles for key industry players throughout the ecosystem. It analyzes how enterprise VDAs will be used across multiple channels in four key use cases: customer service & marketing, e-commerce & sales, business applications, and healthcare VDAs. Tractica also presents global market forecasts for enterprise VDA software, segmented by region, solution type, and use case, covering the period from 2018 through 2025. An Executive Summary of the report is available for free download on the firm’s website.

]]>
sherrilhanson http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./robotics/collaborative-robot-platforms-getting-smart-with-robots/ Collaborative Robot Platforms: Getting Smart with Robots 2019-11-20T10:38:24.v-07:00 Much has been written about collaborative robot (cobot) arms as the next big thing for robotics, manufacturing, warehousing, and logistics.... More 米兜彩票appcollaborative-robot-platforms-getting-smart-with-robots

Much has been written about collaborative robot (cobot) arms as the next big thing for robotics, manufacturing, warehousing, and logistics. Cobots are touted as “the” solution for smart factories and e-commerce fulfillment. However, an isolated machine doesn’t really make a factory smart. This is where software platforms come in, as they tie machine data and production data with the overall smart factory processes. This becomes even more critical when a large number of cobots are installed and operators need to monitor and manage production in multiple locations. Let’s look at how three of the leading companies implement their vision of a robot platform.

米兜彩票app

Source: Formant

Formant is a pioneer in providing a universal platform for robots and cobots. The fact that robots operate in production environments out in the world and not in a laboratory often means they need human observation and intervention. The goal of robot platforms is to reduce the cognitive load so one human operator can manage a large fleet. Formant enables fleet-level management and operations so one person can perform three main operations:

  • Observe: Monitor and visualize live and historical states of the cobot or robot fleet. Determine root cause issues in seconds.
  • Analyze: Ask questions at scale about the company’s engineering, operational, and business data. Summarize, filter, and drill down along meaningful dimensions.
  • Operate: Configure, operate, and manage robot systems. Intervene when needed. Respond to issues in real time.

米兜彩票app

Source: Formant

The Intera software platform that was developed to control the cobots from Rethink is a pioneer operating system for collaborative robotics. It provides an easy-to-deploy approach to industrial automation for setting up the company’s cobots. The software, which is easy to use and integrate, is designed to drive manufacturing productivity and enable staff members to accept their new robot coworkers. Intera Insights provides critical production metrics directly on the robot’s display and can help operators identify production anomalies before they become problems. Key performance indicators, such as cycle times and part counts, are accessible on the factory floor in real time. The same data is also fed to Intera Studio, providing visibility into shared data and responses to other team members.

米兜彩票app

Source: Rethink Robotics

The Actin SDK from Energid is designed to satisfy the need for more advanced software that enables dynamic actions and decisions for robots. Actin is a software framework for robot control and simulation, allowing users to control and simulate any type of robotic application. The framework integrates with the Robot Operating System (ROS) standard and can incorporate third-party modules. Actin is particularly adept at handling complex robotic systems and high axis or kinematically redundant robots (numerous degrees of freedom). Energid’s parent company is Teradyne, which also owns Universal Robots, the largest cobot maker in the world.

米兜彩票app

Source: Energid

The Future of Cobot Integration

As competition heats up for smart factories and fulfillment centers, and as more companies adopt large numbers of cobots to perform repetitive tasks in their smart factories, there will be a growing need for software that can tie everything together in a unified platform. I expect to see more vendors of cobot arms start to include integration software with their machines. In addition, a few companies like Formant will provide a universal platform to help make smart factories even smarter.

If you want more details about cobots and smart manufacturing, check out Tractica’s recent Collaborative Robots report with market analysis and forecasts. And watch our Robotics Advisory Service page for our upcoming Collaborative Robots Market Radar report, which focuses on the top six cobot companies that you need to know.

]]>
Glenn Sanders http://tractica./feed/ 米兜彩票官网Blog
http://tractica./robotics/collaborative-robot-platforms-getting-smart-with-robots/ Collaborative Robot Platforms: Getting Smart with Robots 2019-11-20T10:38:24.v-07:00 Much has been written about collaborative robot (cobot) arms as the next big thing for robotics, manufacturing, warehousing, and logistics. Cobots are touted as “the?solution for smart factories and e-commerce fulfillment. However, an isolated machine doesn’t really make a factory smart. This is where software platforms come in, as they tie machine data and […] 米兜彩票appcollaborative-robot-platforms-getting-smart-with-robots

Much has been written about collaborative robot (cobot) arms as the next big thing for robotics, manufacturing, warehousing, and logistics. Cobots are touted as “the” solution for smart factories and e-commerce fulfillment. However, an isolated machine doesn’t really make a factory smart. This is where software platforms come in, as they tie machine data and production data with the overall smart factory processes. This becomes even more critical when a large number of cobots are installed and operators need to monitor and manage production in multiple locations. Let’s look at how three of the leading companies implement their vision of a robot platform.

米兜彩票app

Source: Formant

Formant is a pioneer in providing a universal platform for robots and cobots. The fact that robots operate in production environments out in the world and not in a laboratory often means they need human observation and intervention. The goal of robot platforms is to reduce the cognitive load so one human operator can manage a large fleet. Formant enables fleet-level management and operations so one person can perform three main operations:

  • Observe: Monitor and visualize live and historical states of the cobot or robot fleet. Determine root cause issues in seconds.
  • Analyze: Ask questions at scale about the company’s engineering, operational, and business data. Summarize, filter, and drill down along meaningful dimensions.
  • Operate: Configure, operate, and manage robot systems. Intervene when needed. Respond to issues in real time.

米兜彩票app

Source: Formant

The Intera software platform that was developed to control the cobots from Rethink is a pioneer operating system for collaborative robotics. It provides an easy-to-deploy approach to industrial automation for setting up the company’s cobots. The software, which is easy to use and integrate, is designed to drive manufacturing productivity and enable staff members to accept their new robot coworkers. Intera Insights provides critical production metrics directly on the robot’s display and can help operators identify production anomalies before they become problems. Key performance indicators, such as cycle times and part counts, are accessible on the factory floor in real time. The same data is also fed to Intera Studio, providing visibility into shared data and responses to other team members.

米兜彩票app

Source: Rethink Robotics

The Actin SDK from Energid is designed to satisfy the need for more advanced software that enables dynamic actions and decisions for robots. Actin is a software framework for robot control and simulation, allowing users to control and simulate any type of robotic application. The framework integrates with the Robot Operating System (ROS) standard and can incorporate third-party modules. Actin is particularly adept at handling complex robotic systems and high axis or kinematically redundant robots (numerous degrees of freedom). Energid’s parent company is Teradyne, which also owns Universal Robots, the largest cobot maker in the world.

米兜彩票app

Source: Energid

The Future of Cobot Integration

As competition heats up for smart factories and fulfillment centers, and as more companies adopt large numbers of cobots to perform repetitive tasks in their smart factories, there will be a growing need for software that can tie everything together in a unified platform. I expect to see more vendors of cobot arms start to include integration software with their machines. In addition, a few companies like Formant will provide a universal platform to help make smart factories even smarter.

If you want more details about cobots and smart manufacturing, check out Tractica’s recent Collaborative Robots report with market analysis and forecasts. And watch our Robotics Advisory Service page for our upcoming Collaborative Robots Market Radar report, which focuses on the top six cobot companies that you need to know.

]]>
Glenn Sanders http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./robotics/collaborative-robot-platforms-getting-smart-with-robots/ Collaborative Robot Platforms: Getting Smart with Robots 2019-11-20T10:38:24.v-07:00 Much has been written about collaborative robot (cobot) arms as the next big thing for robotics, manufacturing, warehousing, and logistics. Cobots are touted as “the?solution for smart factories and e-commerce fulfillment. However, an isolated machine doesn’t really make a factory smart. This is where software platforms come in, as they tie machine data and […] 米兜彩票appcollaborative-robot-platforms-getting-smart-with-robots

Much has been written about collaborative robot (cobot) arms as the next big thing for robotics, manufacturing, warehousing, and logistics. Cobots are touted as “the” solution for smart factories and e-commerce fulfillment. However, an isolated machine doesn’t really make a factory smart. This is where software platforms come in, as they tie machine data and production data with the overall smart factory processes. This becomes even more critical when a large number of cobots are installed and operators need to monitor and manage production in multiple locations. Let’s look at how three of the leading companies implement their vision of a robot platform.

米兜彩票app

Source: Formant

Formant is a pioneer in providing a universal platform for robots and cobots. The fact that robots operate in production environments out in the world and not in a laboratory often means they need human observation and intervention. The goal of robot platforms is to reduce the cognitive load so one human operator can manage a large fleet. Formant enables fleet-level management and operations so one person can perform three main operations:

  • Observe: Monitor and visualize live and historical states of the cobot or robot fleet. Determine root cause issues in seconds.
  • Analyze: Ask questions at scale about the company’s engineering, operational, and business data. Summarize, filter, and drill down along meaningful dimensions.
  • Operate: Configure, operate, and manage robot systems. Intervene when needed. Respond to issues in real time.

米兜彩票app

Source: Formant

The Intera software platform that was developed to control the cobots from Rethink is a pioneer operating system for collaborative robotics. It provides an easy-to-deploy approach to industrial automation for setting up the company’s cobots. The software, which is easy to use and integrate, is designed to drive manufacturing productivity and enable staff members to accept their new robot coworkers. Intera Insights provides critical production metrics directly on the robot’s display and can help operators identify production anomalies before they become problems. Key performance indicators, such as cycle times and part counts, are accessible on the factory floor in real time. The same data is also fed to Intera Studio, providing visibility into shared data and responses to other team members.

米兜彩票app

Source: Rethink Robotics

The Actin SDK from Energid is designed to satisfy the need for more advanced software that enables dynamic actions and decisions for robots. Actin is a software framework for robot control and simulation, allowing users to control and simulate any type of robotic application. The framework integrates with the Robot Operating System (ROS) standard and can incorporate third-party modules. Actin is particularly adept at handling complex robotic systems and high axis or kinematically redundant robots (numerous degrees of freedom). Energid’s parent company is Teradyne, which also owns Universal Robots, the largest cobot maker in the world.

米兜彩票app

Source: Energid

The Future of Cobot Integration

As competition heats up for smart factories and fulfillment centers, and as more companies adopt large numbers of cobots to perform repetitive tasks in their smart factories, there will be a growing need for software that can tie everything together in a unified platform. I expect to see more vendors of cobot arms start to include integration software with their machines. In addition, a few companies like Formant will provide a universal platform to help make smart factories even smarter.

If you want more details about cobots and smart manufacturing, check out Tractica’s recent Collaborative Robots report with market analysis and forecasts. And watch our Robotics Advisory Service page for our upcoming Collaborative Robots Market Radar report, which focuses on the top six cobot companies that you need to know.

]]>
Glenn Sanders http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./robotics/collaborative-robot-platforms-getting-smart-with-robots/ Collaborative Robot Platforms: Getting Smart with Robots 2019-11-20T10:38:24.v-07:00 Much has been written about collaborative robot (cobot) arms as the next big thing for robotics, manufacturing, warehousing, and logistics. Cobots are touted as “the?solution for smart factories and e-commerce fulfillment. However, an isolated machine doesn’t really make a factory smart. This is where software platforms come in, as they tie machine data and […] 米兜彩票appcollaborative-robot-platforms-getting-smart-with-robots

Much has been written about collaborative robot (cobot) arms as the next big thing for robotics, manufacturing, warehousing, and logistics. Cobots are touted as “the” solution for smart factories and e-commerce fulfillment. However, an isolated machine doesn’t really make a factory smart. This is where software platforms come in, as they tie machine data and production data with the overall smart factory processes. This becomes even more critical when a large number of cobots are installed and operators need to monitor and manage production in multiple locations. Let’s look at how three of the leading companies implement their vision of a robot platform.

米兜彩票app

Source: Formant

Formant is a pioneer in providing a universal platform for robots and cobots. The fact that robots operate in production environments out in the world and not in a laboratory often means they need human observation and intervention. The goal of robot platforms is to reduce the cognitive load so one human operator can manage a large fleet. Formant enables fleet-level management and operations so one person can perform three main operations:

  • Observe: Monitor and visualize live and historical states of the cobot or robot fleet. Determine root cause issues in seconds.
  • Analyze: Ask questions at scale about the company’s engineering, operational, and business data. Summarize, filter, and drill down along meaningful dimensions.
  • Operate: Configure, operate, and manage robot systems. Intervene when needed. Respond to issues in real time.

米兜彩票app

Source: Formant

The Intera software platform that was developed to control the cobots from Rethink is a pioneer operating system for collaborative robotics. It provides an easy-to-deploy approach to industrial automation for setting up the company’s cobots. The software, which is easy to use and integrate, is designed to drive manufacturing productivity and enable staff members to accept their new robot coworkers. Intera Insights provides critical production metrics directly on the robot’s display and can help operators identify production anomalies before they become problems. Key performance indicators, such as cycle times and part counts, are accessible on the factory floor in real time. The same data is also fed to Intera Studio, providing visibility into shared data and responses to other team members.

米兜彩票app

Source: Rethink Robotics

The Actin SDK from Energid is designed to satisfy the need for more advanced software that enables dynamic actions and decisions for robots. Actin is a software framework for robot control and simulation, allowing users to control and simulate any type of robotic application. The framework integrates with the Robot Operating System (ROS) standard and can incorporate third-party modules. Actin is particularly adept at handling complex robotic systems and high axis or kinematically redundant robots (numerous degrees of freedom). Energid’s parent company is Teradyne, which also owns Universal Robots, the largest cobot maker in the world.

米兜彩票app

Source: Energid

The Future of Cobot Integration

As competition heats up for smart factories and fulfillment centers, and as more companies adopt large numbers of cobots to perform repetitive tasks in their smart factories, there will be a growing need for software that can tie everything together in a unified platform. I expect to see more vendors of cobot arms start to include integration software with their machines. In addition, a few companies like Formant will provide a universal platform to help make smart factories even smarter.

If you want more details about cobots and smart manufacturing, check out Tractica’s recent Collaborative Robots report with market analysis and forecasts. And watch our Robotics Advisory Service page for our upcoming Collaborative Robots Market Radar report, which focuses on the top six cobot companies that you need to know.

]]>
Glenn Sanders http://tractica./feed/ 米兜彩票官网Blog
http://tractica./robotics/the-softer-side-of-robots-flexible-robots-and-grippers/ The Softer Side of Robots: Flexible Robots and Grippers 2019-11-19T14:58:28.v-07:00 Pneumatic grippers have been around for decades to pick & place, hold, and manipulate parts small and large. Most of... More 米兜彩票appthe-softer-side-of-robots-flexible-robots-and-grippers

Pneumatic grippers have been around for decades to pick & place, hold, and manipulate parts small and large. Most of these grippers have stiff metal jaws that operate repeatedly and with high precision. This is useful for rigid objects that are all the same shape. However, a solution was needed for grippers that can easily grasp delicate or soft materials or objects that vary in contour, size, or orientation. This is where a new generation of pneumatic grippers with soft jaws, fingers, and bellows comes in. Let’s look at a few examples below.

米兜彩票app

Source: Soft Robotics

Probably the most well-known company providing soft grippers, Soft Robotics designs and builds soft robotic gripping systems and automation solutions that can grasp and manipulate items of varying size, shape, and weight with the same tool. This solves previously difficult automation challenges for customers in food & beverage, advanced manufacturing, and e-commerce.

By leveraging the properties of soft and compliant materials, Soft Robotics built a set of self-adaptive and dexterous robotic hands that enable a new generation of robotic systems. These systems do not require sensors or other electromechanical devices for operation.

The company’s mGrip soft gripper lineup includes dual fingers, circular grippers, and parallel grippers that can pick up objects with multiple shapes without damaging them. Soft Robotics’ software lets the operator set the grip strength and the opening amount, with four preset slots for various types of products. The Massachusetts-based company targets three major industries: food & beverage, advanced manufacturing, and e-commerce & retail.

米兜彩票app

Source: Soft Robotics

The Rochu soft robotic gripper group focuses on soft robotic technology and provides soft gripper solutions for industrial automation and intelligent manufacturing. The China米兜彩票网-based company’s website describes its gripper as being based on German advanced nanometer material science and technology, combined with a bionic design concept.

The flexible grippers, which are remarkably similar to those from Soft Robotics, are targeted at a range of industries, including industrial automation, logistics, food, medical, automobile, clothing, textile, 3C electronics, toys, education, and others. Rochu offers several types of gripper modules with varying finger combinations and lengths. Its mini soft beak gripper is targeted toward micro size jewelry and electronics components.

米兜彩票app

Source: Rochu

Festo provides automation technology as well as technical training and education. The New York-based company helps customers all over the world to increase their productivity through a combination of more than 30,000 automation products and technical education.

It offers grippers with metal fingers, as well as three types of soft expanding grippers for external and internal gripping of objects. The first type of flexible gripper is a bellows gripper made from ethylene propylene diene monomer rubber (EPDM) or silicone. It expands to hold objects with hollow portions ranging from 8 mm to 85 mm (inside diameter) at 4 cycles per second. The second type is an adaptable gripper made from silicone that holds delicate objects from 12 mm to 38 mm at 1 cycle per second. The third type is the TentacleGripper modeled after octopus tentacles.

米兜彩票app

Source: Festo

Firestone offers two types of soft grippers called AirGripper and AirPicker. By controlling the amount of pressure within the bladder, Firestone end effectors can handle delicate objects with the soft touch of rubber and air.

The AirGripper is a collar that goes around the object and then expands inwardly to grip the object’s exterior for sizes ranging from 5 mm to 45 mm. AirPicker is inserted into a product while deflated, then expands to grip the inner walls of the object, similar to the Festo bellows gripper. AirPicker comes in 12 sizes and can grip objects with an inside diameter from 8.5 mm to 105 mm.

米兜彩票app

Source: Firestone Industrial Products

The company formerly known as Pneubotics grew out of a project at a privately held research lab in San Francisco’s Mission District called Otherlab that calls itself an “invention factory.” The goal of Pneubotics was to “build a new breed of machine, a mobile tool that could perform out in the real world where most of the dirty dull and dangerous tasks are still found.” The team worked with NASA, the Office of Naval Research, and DARPA, as well as a major automotive company and a large aerospace company. Canvas aims to develop a new type of flexible, lightweight, and safe robot to help construction workers become more productive. The company says that although its pneumatic robots are flexible, they can lift heavier payloads and are much lighter than rigid robots of the same size.

米兜彩票app

Source: Canvas

The Future of Soft Robots

Production and delivery cycles continue to become shorter due to customer demand. This is driving the market for robots, collaborative robots (cobots), and automation to enable smart production and flexible processes that adapt to changing orders. Soft robotics promises to further accelerate this trend by opening up new possibilities and applications for robots and cobots across all industries. With safe, flexible, and adaptable grippers and robots, smart factories can harness the power of automation in areas that have never been possible before. I expect to see soft grippers sprouting out of more and more robot and cobot arms in the future as companies adopt this technology to enable a broad range of use cases.

]]>
Glenn Sanders http://tractica./feed/ 米兜彩票官网Blog
http://tractica./robotics/the-softer-side-of-robots-flexible-robots-and-grippers/ The Softer Side of Robots: Flexible Robots and Grippers 2019-11-19T14:58:28.v-07:00 Pneumatic grippers have been around for decades to pick & place, hold, and manipulate parts small and large. Most of these grippers have stiff metal jaws that operate repeatedly and with high precision. This is useful for rigid objects that are all the same shape. However, a solution was needed for grippers that can easily […] 米兜彩票appthe-softer-side-of-robots-flexible-robots-and-grippers

Pneumatic grippers have been around for decades to pick & place, hold, and manipulate parts small and large. Most of these grippers have stiff metal jaws that operate repeatedly and with high precision. This is useful for rigid objects that are all the same shape. However, a solution was needed for grippers that can easily grasp delicate or soft materials or objects that vary in contour, size, or orientation. This is where a new generation of pneumatic grippers with soft jaws, fingers, and bellows comes in. Let’s look at a few examples below.

米兜彩票app

Source: Soft Robotics

Probably the most well-known company providing soft grippers, Soft Robotics designs and builds soft robotic gripping systems and automation solutions that can grasp and manipulate items of varying size, shape, and weight with the same tool. This solves previously difficult automation challenges for customers in food & beverage, advanced manufacturing, and e-commerce.

By leveraging the properties of soft and compliant materials, Soft Robotics built a set of self-adaptive and dexterous robotic hands that enable a new generation of robotic systems. These systems do not require sensors or other electromechanical devices for operation.

The company’s mGrip soft gripper lineup includes dual fingers, circular grippers, and parallel grippers that can pick up objects with multiple shapes without damaging them. Soft Robotics’ software lets the operator set the grip strength and the opening amount, with four preset slots for various types of products. The Massachusetts-based company targets three major industries: food & beverage, advanced manufacturing, and e-commerce & retail.

米兜彩票app

Source: Soft Robotics

The Rochu soft robotic gripper group focuses on soft robotic technology and provides soft gripper solutions for industrial automation and intelligent manufacturing. The China米兜彩票网-based company’s website describes its gripper as being based on German advanced nanometer material science and technology, combined with a bionic design concept.

The flexible grippers, which are remarkably similar to those from Soft Robotics, are targeted at a range of industries, including industrial automation, logistics, food, medical, automobile, clothing, textile, 3C electronics, toys, education, and others. Rochu offers several types of gripper modules with varying finger combinations and lengths. Its mini soft beak gripper is targeted toward micro size jewelry and electronics components.

米兜彩票app

Source: Rochu

Festo provides automation technology as well as technical training and education. The New York-based company helps customers all over the world to increase their productivity through a combination of more than 30,000 automation products and technical education.

It offers grippers with metal fingers, as well as three types of soft expanding grippers for external and internal gripping of objects. The first type of flexible gripper is a bellows gripper made from ethylene propylene diene monomer rubber (EPDM) or silicone. It expands to hold objects with hollow portions ranging from 8 mm to 85 mm (inside diameter) at 4 cycles per second. The second type is an adaptable gripper made from silicone that holds delicate objects from 12 mm to 38 mm at 1 cycle per second. The third type is the TentacleGripper modeled after octopus tentacles.

米兜彩票app

Source: Festo

Firestone offers two types of soft grippers called AirGripper and AirPicker. By controlling the amount of pressure within the bladder, Firestone end effectors can handle delicate objects with the soft touch of rubber and air.

The AirGripper is a collar that goes around the object and then expands inwardly to grip the object’s exterior for sizes ranging from 5 mm to 45 mm. AirPicker is inserted into a product while deflated, then expands to grip the inner walls of the object, similar to the Festo bellows gripper. AirPicker comes in 12 sizes and can grip objects with an inside diameter from 8.5 mm to 105 mm.

米兜彩票app

Source: Firestone Industrial Products

The company formerly known as Pneubotics grew out of a project at a privately held research lab in San Francisco’s Mission District called Otherlab that calls itself an “invention factory.” The goal of Pneubotics was to “build a new breed of machine, a mobile tool that could perform out in the real world where most of the dirty dull and dangerous tasks are still found.” The team worked with NASA, the Office of Naval Research, and DARPA, as well as a major automotive company and a large aerospace company. Canvas aims to develop a new type of flexible, lightweight, and safe robot to help construction workers become more productive. The company says that although its pneumatic robots are flexible, they can lift heavier payloads and are much lighter than rigid robots of the same size.

米兜彩票app

Source: Canvas

The Future of Soft Robots

Production and delivery cycles continue to become shorter due to customer demand. This is driving the market for robots, collaborative robots (cobots), and automation to enable smart production and flexible processes that adapt to changing orders. Soft robotics promises to further accelerate this trend by opening up new possibilities and applications for robots and cobots across all industries. With safe, flexible, and adaptable grippers and robots, smart factories can harness the power of automation in areas that have never been possible before. I expect to see soft grippers sprouting out of more and more robot and cobot arms in the future as companies adopt this technology to enable a broad range of use cases.

]]>
Glenn Sanders http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./robotics/the-softer-side-of-robots-flexible-robots-and-grippers/ The Softer Side of Robots: Flexible Robots and Grippers 2019-11-19T14:58:28.v-07:00 Pneumatic grippers have been around for decades to pick & place, hold, and manipulate parts small and large. Most of these grippers have stiff metal jaws that operate repeatedly and with high precision. This is useful for rigid objects that are all the same shape. However, a solution was needed for grippers that can easily […] 米兜彩票appthe-softer-side-of-robots-flexible-robots-and-grippers

Pneumatic grippers have been around for decades to pick & place, hold, and manipulate parts small and large. Most of these grippers have stiff metal jaws that operate repeatedly and with high precision. This is useful for rigid objects that are all the same shape. However, a solution was needed for grippers that can easily grasp delicate or soft materials or objects that vary in contour, size, or orientation. This is where a new generation of pneumatic grippers with soft jaws, fingers, and bellows comes in. Let’s look at a few examples below.

米兜彩票app

Source: Soft Robotics

Probably the most well-known company providing soft grippers, Soft Robotics designs and builds soft robotic gripping systems and automation solutions that can grasp and manipulate items of varying size, shape, and weight with the same tool. This solves previously difficult automation challenges for customers in food & beverage, advanced manufacturing, and e-commerce.

By leveraging the properties of soft and compliant materials, Soft Robotics built a set of self-adaptive and dexterous robotic hands that enable a new generation of robotic systems. These systems do not require sensors or other electromechanical devices for operation.

The company’s mGrip soft gripper lineup includes dual fingers, circular grippers, and parallel grippers that can pick up objects with multiple shapes without damaging them. Soft Robotics’ software lets the operator set the grip strength and the opening amount, with four preset slots for various types of products. The Massachusetts-based company targets three major industries: food & beverage, advanced manufacturing, and e-commerce & retail.

米兜彩票app

Source: Soft Robotics

The Rochu soft robotic gripper group focuses on soft robotic technology and provides soft gripper solutions for industrial automation and intelligent manufacturing. The China米兜彩票网-based company’s website describes its gripper as being based on German advanced nanometer material science and technology, combined with a bionic design concept.

The flexible grippers, which are remarkably similar to those from Soft Robotics, are targeted at a range of industries, including industrial automation, logistics, food, medical, automobile, clothing, textile, 3C electronics, toys, education, and others. Rochu offers several types of gripper modules with varying finger combinations and lengths. Its mini soft beak gripper is targeted toward micro size jewelry and electronics components.

米兜彩票app

Source: Rochu

Festo provides automation technology as well as technical training and education. The New York-based company helps customers all over the world to increase their productivity through a combination of more than 30,000 automation products and technical education.

It offers grippers with metal fingers, as well as three types of soft expanding grippers for external and internal gripping of objects. The first type of flexible gripper is a bellows gripper made from ethylene propylene diene monomer rubber (EPDM) or silicone. It expands to hold objects with hollow portions ranging from 8 mm to 85 mm (inside diameter) at 4 cycles per second. The second type is an adaptable gripper made from silicone that holds delicate objects from 12 mm to 38 mm at 1 cycle per second. The third type is the TentacleGripper modeled after octopus tentacles.

米兜彩票app

Source: Festo

Firestone offers two types of soft grippers called AirGripper and AirPicker. By controlling the amount of pressure within the bladder, Firestone end effectors can handle delicate objects with the soft touch of rubber and air.

The AirGripper is a collar that goes around the object and then expands inwardly to grip the object’s exterior for sizes ranging from 5 mm to 45 mm. AirPicker is inserted into a product while deflated, then expands to grip the inner walls of the object, similar to the Festo bellows gripper. AirPicker comes in 12 sizes and can grip objects with an inside diameter from 8.5 mm to 105 mm.

米兜彩票app

Source: Firestone Industrial Products

The company formerly known as Pneubotics grew out of a project at a privately held research lab in San Francisco’s Mission District called Otherlab that calls itself an “invention factory.” The goal of Pneubotics was to “build a new breed of machine, a mobile tool that could perform out in the real world where most of the dirty dull and dangerous tasks are still found.” The team worked with NASA, the Office of Naval Research, and DARPA, as well as a major automotive company and a large aerospace company. Canvas aims to develop a new type of flexible, lightweight, and safe robot to help construction workers become more productive. The company says that although its pneumatic robots are flexible, they can lift heavier payloads and are much lighter than rigid robots of the same size.

米兜彩票app

Source: Canvas

The Future of Soft Robots

Production and delivery cycles continue to become shorter due to customer demand. This is driving the market for robots, collaborative robots (cobots), and automation to enable smart production and flexible processes that adapt to changing orders. Soft robotics promises to further accelerate this trend by opening up new possibilities and applications for robots and cobots across all industries. With safe, flexible, and adaptable grippers and robots, smart factories can harness the power of automation in areas that have never been possible before. I expect to see soft grippers sprouting out of more and more robot and cobot arms in the future as companies adopt this technology to enable a broad range of use cases.

]]>
Glenn Sanders http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./robotics/the-softer-side-of-robots-flexible-robots-and-grippers/ The Softer Side of Robots: Flexible Robots and Grippers 2019-11-19T14:58:28.v-07:00 Pneumatic grippers have been around for decades to pick & place, hold, and manipulate parts small and large. Most of these grippers have stiff metal jaws that operate repeatedly and with high precision. This is useful for rigid objects that are all the same shape. However, a solution was needed for grippers that can easily […] 米兜彩票appthe-softer-side-of-robots-flexible-robots-and-grippers

Pneumatic grippers have been around for decades to pick & place, hold, and manipulate parts small and large. Most of these grippers have stiff metal jaws that operate repeatedly and with high precision. This is useful for rigid objects that are all the same shape. However, a solution was needed for grippers that can easily grasp delicate or soft materials or objects that vary in contour, size, or orientation. This is where a new generation of pneumatic grippers with soft jaws, fingers, and bellows comes in. Let’s look at a few examples below.

米兜彩票app

Source: Soft Robotics

Probably the most well-known company providing soft grippers, Soft Robotics designs and builds soft robotic gripping systems and automation solutions that can grasp and manipulate items of varying size, shape, and weight with the same tool. This solves previously difficult automation challenges for customers in food & beverage, advanced manufacturing, and e-commerce.

By leveraging the properties of soft and compliant materials, Soft Robotics built a set of self-adaptive and dexterous robotic hands that enable a new generation of robotic systems. These systems do not require sensors or other electromechanical devices for operation.

The company’s mGrip soft gripper lineup includes dual fingers, circular grippers, and parallel grippers that can pick up objects with multiple shapes without damaging them. Soft Robotics’ software lets the operator set the grip strength and the opening amount, with four preset slots for various types of products. The Massachusetts-based company targets three major industries: food & beverage, advanced manufacturing, and e-commerce & retail.

米兜彩票app

Source: Soft Robotics

The Rochu soft robotic gripper group focuses on soft robotic technology and provides soft gripper solutions for industrial automation and intelligent manufacturing. The China米兜彩票网-based company’s website describes its gripper as being based on German advanced nanometer material science and technology, combined with a bionic design concept.

The flexible grippers, which are remarkably similar to those from Soft Robotics, are targeted at a range of industries, including industrial automation, logistics, food, medical, automobile, clothing, textile, 3C electronics, toys, education, and others. Rochu offers several types of gripper modules with varying finger combinations and lengths. Its mini soft beak gripper is targeted toward micro size jewelry and electronics components.

米兜彩票app

Source: Rochu

Festo provides automation technology as well as technical training and education. The New York-based company helps customers all over the world to increase their productivity through a combination of more than 30,000 automation products and technical education.

It offers grippers with metal fingers, as well as three types of soft expanding grippers for external and internal gripping of objects. The first type of flexible gripper is a bellows gripper made from ethylene propylene diene monomer rubber (EPDM) or silicone. It expands to hold objects with hollow portions ranging from 8 mm to 85 mm (inside diameter) at 4 cycles per second. The second type is an adaptable gripper made from silicone that holds delicate objects from 12 mm to 38 mm at 1 cycle per second. The third type is the TentacleGripper modeled after octopus tentacles.

米兜彩票app

Source: Festo

Firestone offers two types of soft grippers called AirGripper and AirPicker. By controlling the amount of pressure within the bladder, Firestone end effectors can handle delicate objects with the soft touch of rubber and air.

The AirGripper is a collar that goes around the object and then expands inwardly to grip the object’s exterior for sizes ranging from 5 mm to 45 mm. AirPicker is inserted into a product while deflated, then expands to grip the inner walls of the object, similar to the Festo bellows gripper. AirPicker comes in 12 sizes and can grip objects with an inside diameter from 8.5 mm to 105 mm.

米兜彩票app

Source: Firestone Industrial Products

The company formerly known as Pneubotics grew out of a project at a privately held research lab in San Francisco’s Mission District called Otherlab that calls itself an “invention factory.” The goal of Pneubotics was to “build a new breed of machine, a mobile tool that could perform out in the real world where most of the dirty dull and dangerous tasks are still found.” The team worked with NASA, the Office of Naval Research, and DARPA, as well as a major automotive company and a large aerospace company. Canvas aims to develop a new type of flexible, lightweight, and safe robot to help construction workers become more productive. The company says that although its pneumatic robots are flexible, they can lift heavier payloads and are much lighter than rigid robots of the same size.

米兜彩票app

Source: Canvas

The Future of Soft Robots

Production and delivery cycles continue to become shorter due to customer demand. This is driving the market for robots, collaborative robots (cobots), and automation to enable smart production and flexible processes that adapt to changing orders. Soft robotics promises to further accelerate this trend by opening up new possibilities and applications for robots and cobots across all industries. With safe, flexible, and adaptable grippers and robots, smart factories can harness the power of automation in areas that have never been possible before. I expect to see soft grippers sprouting out of more and more robot and cobot arms in the future as companies adopt this technology to enable a broad range of use cases.

]]>
Glenn Sanders http://tractica./feed/ 米兜彩票官网Blog
http://tractica./artificial-intelligence/ai-ethics-if-data-is-the-new-oil-who-owns-the-mineral-rights/ AI Ethics: If Data Is the New Oil, Who Owns the Mineral Rights? 2019-11-18T14:57:05.v-07:00 This is the first installment of a series on AI ethics. As we near the end of 2019, artificial intelligence... More 米兜彩票appai-ethics-if-data-is-the-new-oil-who-owns-the-mineral-rights

This is the first installment of a series on AI ethics.

As we near the end of 2019, artificial intelligence (AI) technology continues to steadily permeate our world. While promoters wax on about how AI is helping to track and save snow leopards, (A-fib), and seamlessly solve customer service issues, there is concern about how the use of AI technology can be controlled.

In Tractica’s view, the primary ethical issues for AI fall into four categories:

  • Privacy: Managing the use and ownership of personal data.
  • Accuracy/accountability: Trusting the results, accuracy, and decision-making of AI systems.
  • Bias: Recognizing AI systems’ ability/inability to eliminate bias given the limitations of accurate and complete data.
  • Propaganda generation: Managing the potential for AI systems to generate false information.

In this blog post, we examine how data privacy presents an ethics challenge for AI stakeholders.

A Growing Market

Tractica publishes a regularly updated database of market forecasts for more than 315 AI use cases. In the latest version, the cumulative software revenue associated with top 30 use cases is forecast to represent $272.4 billion between 2018 and 2025. Data privacy significantly affects 18 of those 30 use cases, representing an estimated $171.2 billion.

Top 30 AI Use Cases by Cumulative Revenue: 2018-2025

Voice/speech recognition

Video surveillance

Network/IT operations monitoring and management

Customer service & marketing VDAs

Machine/vehicular object detection/identification/avoidance

Personalized tutoring and adaptive learning

Patent research and analysis

Querying image content

Predictive maintenance

Medical image analysis

Patient data processing

Localization and mapping

Sentiment analysis

AR/VR development

Ad targeting and media buying

Converting paperwork into digital data

Ad insertions into images and video

Prevention against cybersecurity threats

Algorithmic trading strategy performance improvement

Intelligent recruitment and HR systems

Sensor data fusion in machinery

Automated report generation

Game development

Healthcare VDAs

Human emotion analysis

Face recognition

Air traffic control and management

Intelligent CRM systems

Sensor data analytics

E-commerce & sales VDAs

(*Use cases in bold significantly affected by data privacy)

(Source: Tractica)

As a backdrop, the depth and breadth of personal data being generated, stored, and used are growing exponentially. Entities that gain permission to use personal data through complex acceptance agreements sometimes share that data with other entities. Thus, it is difficult to know who has access to personal data – and when.

Dangers of the New Oil

Data is famously the new oil. For AI, data is lifeblood; AI essentially doesn’t work without it. In our connected, digital world, enterprises need data to survive and thrive, but increasingly, consumers are wary of personal data use. There is certainly a debate about who owns and controls data and when it can be used.

In a quick sampling of the use cases listed, consider the following:

  • Voice/speech recognition: When is it proper for smart speakers to be listening to and collecting data? What can or should they collect?
  • Video surveillance: Where does the data collected from your 米兜彩票app security system go? Does the government have the right to record your movements?
  • Customer service & marketing virtual digital assistants (VDAs): For companies to deliver the best virtual agent customer service, personal context data, such as your account information, customer history, location, etc. is needed. How much do you want virtual agents in customer service to know?
  • Localization and mapping: Your smartphone delivers accurate location information. What companies/institutions are you willing to share your location with and when?
  • Sentiment, human emotion analysis: AI systems can, to a great extent, understand your mood. What companies/institutions are you willing to share that with and when?

AI Best Practices and Regulation

As with most technological advances, regulations and laws lag market advancement. Best practices and self-regulation typically materialize first, and that is true in the case of data privacy for AI. Market leaders like Microsoft and Google have published best practices.

Microsoft calls its guidance , which are six principles aimed to “guide the development and use of artificial intelligence.” In regard to privacy, two Microsoft principles are relevant: Transparency (AI systems should be understandable) and Privacy and Security (AI systems should be secure and respect privacy).

Google appears to be stumbling down a road to best practices. The company formed an ethics panel in April to help guide AI issues, but disbanded it a week later due to protests over the appointment of a Heritage Foundation executive to the panel. In addition, Google employees pushed back on the company’s AI project for the U. S. military. Its published do not address data privacy.

There are leading-edge regulations that will help with AI data privacy, such as Europe’s General Data Protection Regulation (GDPR). California will put into effect the California Consumer Privacy Act in January 米兜彩票网, which will affect 40 million Americans. But these are exceptions. The U.S. Senate introduced a federal bill for debate in 2017, but it has gotten nowhere to date.

A Siloed Approach: Five Elements of Privacy Legislation

How these regulations will help sort out the control of private data varies by regulatory body, but they are foundations that can be refined. In an article exploring AI privacy concerns, spoke with Bernhard Debatin, Ohio University professor and director of the Institute for Applied and Professional Ethics. Debatin said good privacy legislation in the age of AI should cover five elements:

  1. AI systems must be transparent.
  2. An AI must have a “deeply rooted” right to the information it is collecting.
  3. Consumers must be able to opt out of the system.
  4. The data collected and the purpose of the AI must be limited by design.
  5. Data must be deleted upon consumer request.

This type of rationale makes sense and decouples the original use and intent from the confusion of daisy-chained data access. It is a siloed approach that, in many ways, flies in the face of AI’s strength, which is connecting the dots across disparate data. There will likely be a great deal of pushback from enterprises if regulations were to include all of these elements, particularly from those in the advertising and marketing businesses. Platforms that hold so much personal data, such as Google, Apple, Microsoft, Baidu, Tencent, and telecom operators, as well as brands, marketers, and advertising agencies, typically depend on either providing or consuming downstream use of data.

There will also be the question of cost. Who pays for consumer opt-out systems? Who pays for deleting consumer data? Will the business cases for this type of siloed approach show a positive ROI? Should consumers bear some of the cost of protecting their data, or conversely, should consumers be compensated for the use of their data?

This struggle to manage and control personal data in the AI era will likely open the door to market disruptors. Such companies will seize the opportunity to provide some of these middleman, enterprise, and consumer services.

]]>
Mark Beccue http://tractica./feed/ 米兜彩票官网Blog
http://tractica./artificial-intelligence/ai-ethics-if-data-is-the-new-oil-who-owns-the-mineral-rights/ AI Ethics: If Data Is the New Oil, Who Owns the Mineral Rights? 2019-11-18T14:57:05.v-07:00 This is the first installment of a series on AI ethics. As we near the end of 2019, artificial intelligence (AI) technology continues to steadily permeate our world. While promoters wax on about how AI is helping to track and save snow leopards, accurately predict high risk patients for atrial fibrillation (A-fib), and seamlessly solve […] 米兜彩票appai-ethics-if-data-is-the-new-oil-who-owns-the-mineral-rights

This is the first installment of a series on AI ethics.

As we near the end of 2019, artificial intelligence (AI) technology continues to steadily permeate our world. While promoters wax on about how AI is helping to track and save snow leopards, (A-fib), and seamlessly solve customer service issues, there is concern about how the use of AI technology can be controlled.

In Tractica’s view, the primary ethical issues for AI fall into four categories:

  • Privacy: Managing the use and ownership of personal data.
  • Accuracy/accountability: Trusting the results, accuracy, and decision-making of AI systems.
  • Bias: Recognizing AI systems’ ability/inability to eliminate bias given the limitations of accurate and complete data.
  • Propaganda generation: Managing the potential for AI systems to generate false information.

In this blog post, we examine how data privacy presents an ethics challenge for AI stakeholders.

A Growing Market

Tractica publishes a regularly updated database of market forecasts for more than 315 AI use cases. In the latest version, the cumulative software revenue associated with top 30 use cases is forecast to represent $272.4 billion between 2018 and 2025. Data privacy significantly affects 18 of those 30 use cases, representing an estimated $171.2 billion.

Top 30 AI Use Cases by Cumulative Revenue: 2018-2025

Voice/speech recognition

Video surveillance

Network/IT operations monitoring and management

Customer service & marketing VDAs

Machine/vehicular object detection/identification/avoidance

Personalized tutoring and adaptive learning

Patent research and analysis

Querying image content

Predictive maintenance

Medical image analysis

Patient data processing

Localization and mapping

Sentiment analysis

AR/VR development

Ad targeting and media buying

Converting paperwork into digital data

Ad insertions into images and video

Prevention against cybersecurity threats

Algorithmic trading strategy performance improvement

Intelligent recruitment and HR systems

Sensor data fusion in machinery

Automated report generation

Game development

Healthcare VDAs

Human emotion analysis

Face recognition

Air traffic control and management

Intelligent CRM systems

Sensor data analytics

E-commerce & sales VDAs

(*Use cases in bold significantly affected by data privacy)

(Source: Tractica)

As a backdrop, the depth and breadth of personal data being generated, stored, and used are growing exponentially. Entities that gain permission to use personal data through complex acceptance agreements sometimes share that data with other entities. Thus, it is difficult to know who has access to personal data – and when.

Dangers of the New Oil

Data is famously the new oil. For AI, data is lifeblood; AI essentially doesn’t work without it. In our connected, digital world, enterprises need data to survive and thrive, but increasingly, consumers are wary of personal data use. There is certainly a debate about who owns and controls data and when it can be used.

In a quick sampling of the use cases listed, consider the following:

  • Voice/speech recognition: When is it proper for smart speakers to be listening to and collecting data? What can or should they collect?
  • Video surveillance: Where does the data collected from your 米兜彩票app security system go? Does the government have the right to record your movements?
  • Customer service & marketing virtual digital assistants (VDAs): For companies to deliver the best virtual agent customer service, personal context data, such as your account information, customer history, location, etc. is needed. How much do you want virtual agents in customer service to know?
  • Localization and mapping: Your smartphone delivers accurate location information. What companies/institutions are you willing to share your location with and when?
  • Sentiment, human emotion analysis: AI systems can, to a great extent, understand your mood. What companies/institutions are you willing to share that with and when?

AI Best Practices and Regulation

As with most technological advances, regulations and laws lag market advancement. Best practices and self-regulation typically materialize first, and that is true in the case of data privacy for AI. Market leaders like Microsoft and Google have published best practices.

Microsoft calls its guidance , which are six principles aimed to “guide the development and use of artificial intelligence.” In regard to privacy, two Microsoft principles are relevant: Transparency (AI systems should be understandable) and Privacy and Security (AI systems should be secure and respect privacy).

Google appears to be stumbling down a road to best practices. The company formed an ethics panel in April to help guide AI issues, but disbanded it a week later due to protests over the appointment of a Heritage Foundation executive to the panel. In addition, Google employees pushed back on the company’s AI project for the U. S. military. Its published do not address data privacy.

There are leading-edge regulations that will help with AI data privacy, such as Europe’s General Data Protection Regulation (GDPR). California will put into effect the California Consumer Privacy Act in January 米兜彩票网, which will affect 40 million Americans. But these are exceptions. The U.S. Senate introduced a federal bill for debate in 2017, but it has gotten nowhere to date.

A Siloed Approach: Five Elements of Privacy Legislation

How these regulations will help sort out the control of private data varies by regulatory body, but they are foundations that can be refined. In an article exploring AI privacy concerns, spoke with Bernhard Debatin, Ohio University professor and director of the Institute for Applied and Professional Ethics. Debatin said good privacy legislation in the age of AI should cover five elements:

  1. AI systems must be transparent.
  2. An AI must have a “deeply rooted” right to the information it is collecting.
  3. Consumers must be able to opt out of the system.
  4. The data collected and the purpose of the AI must be limited by design.
  5. Data must be deleted upon consumer request.

This type of rationale makes sense and decouples the original use and intent from the confusion of daisy-chained data access. It is a siloed approach that, in many ways, flies in the face of AI’s strength, which is connecting the dots across disparate data. There will likely be a great deal of pushback from enterprises if regulations were to include all of these elements, particularly from those in the advertising and marketing businesses. Platforms that hold so much personal data, such as Google, Apple, Microsoft, Baidu, Tencent, and telecom operators, as well as brands, marketers, and advertising agencies, typically depend on either providing or consuming downstream use of data.

There will also be the question of cost. Who pays for consumer opt-out systems? Who pays for deleting consumer data? Will the business cases for this type of siloed approach show a positive ROI? Should consumers bear some of the cost of protecting their data, or conversely, should consumers be compensated for the use of their data?

This struggle to manage and control personal data in the AI era will likely open the door to market disruptors. Such companies will seize the opportunity to provide some of these middleman, enterprise, and consumer services.

]]>
Mark Beccue http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./artificial-intelligence/ai-ethics-if-data-is-the-new-oil-who-owns-the-mineral-rights/ AI Ethics: If Data Is the New Oil, Who Owns the Mineral Rights? 2019-11-18T14:57:05.v-07:00 This is the first installment of a series on AI ethics. As we near the end of 2019, artificial intelligence (AI) technology continues to steadily permeate our world. While promoters wax on about how AI is helping to track and save snow leopards, accurately predict high risk patients for atrial fibrillation (A-fib), and seamlessly solve […] 米兜彩票appai-ethics-if-data-is-the-new-oil-who-owns-the-mineral-rights

This is the first installment of a series on AI ethics.

As we near the end of 2019, artificial intelligence (AI) technology continues to steadily permeate our world. While promoters wax on about how AI is helping to track and save snow leopards, (A-fib), and seamlessly solve customer service issues, there is concern about how the use of AI technology can be controlled.

In Tractica’s view, the primary ethical issues for AI fall into four categories:

  • Privacy: Managing the use and ownership of personal data.
  • Accuracy/accountability: Trusting the results, accuracy, and decision-making of AI systems.
  • Bias: Recognizing AI systems’ ability/inability to eliminate bias given the limitations of accurate and complete data.
  • Propaganda generation: Managing the potential for AI systems to generate false information.

In this blog post, we examine how data privacy presents an ethics challenge for AI stakeholders.

A Growing Market

Tractica publishes a regularly updated database of market forecasts for more than 315 AI use cases. In the latest version, the cumulative software revenue associated with top 30 use cases is forecast to represent $272.4 billion between 2018 and 2025. Data privacy significantly affects 18 of those 30 use cases, representing an estimated $171.2 billion.

Top 30 AI Use Cases by Cumulative Revenue: 2018-2025

Voice/speech recognition

Video surveillance

Network/IT operations monitoring and management

Customer service & marketing VDAs

Machine/vehicular object detection/identification/avoidance

Personalized tutoring and adaptive learning

Patent research and analysis

Querying image content

Predictive maintenance

Medical image analysis

Patient data processing

Localization and mapping

Sentiment analysis

AR/VR development

Ad targeting and media buying

Converting paperwork into digital data

Ad insertions into images and video

Prevention against cybersecurity threats

Algorithmic trading strategy performance improvement

Intelligent recruitment and HR systems

Sensor data fusion in machinery

Automated report generation

Game development

Healthcare VDAs

Human emotion analysis

Face recognition

Air traffic control and management

Intelligent CRM systems

Sensor data analytics

E-commerce & sales VDAs

(*Use cases in bold significantly affected by data privacy)

(Source: Tractica)

As a backdrop, the depth and breadth of personal data being generated, stored, and used are growing exponentially. Entities that gain permission to use personal data through complex acceptance agreements sometimes share that data with other entities. Thus, it is difficult to know who has access to personal data – and when.

Dangers of the New Oil

Data is famously the new oil. For AI, data is lifeblood; AI essentially doesn’t work without it. In our connected, digital world, enterprises need data to survive and thrive, but increasingly, consumers are wary of personal data use. There is certainly a debate about who owns and controls data and when it can be used.

In a quick sampling of the use cases listed, consider the following:

  • Voice/speech recognition: When is it proper for smart speakers to be listening to and collecting data? What can or should they collect?
  • Video surveillance: Where does the data collected from your 米兜彩票app security system go? Does the government have the right to record your movements?
  • Customer service & marketing virtual digital assistants (VDAs): For companies to deliver the best virtual agent customer service, personal context data, such as your account information, customer history, location, etc. is needed. How much do you want virtual agents in customer service to know?
  • Localization and mapping: Your smartphone delivers accurate location information. What companies/institutions are you willing to share your location with and when?
  • Sentiment, human emotion analysis: AI systems can, to a great extent, understand your mood. What companies/institutions are you willing to share that with and when?

AI Best Practices and Regulation

As with most technological advances, regulations and laws lag market advancement. Best practices and self-regulation typically materialize first, and that is true in the case of data privacy for AI. Market leaders like Microsoft and Google have published best practices.

Microsoft calls its guidance , which are six principles aimed to “guide the development and use of artificial intelligence.” In regard to privacy, two Microsoft principles are relevant: Transparency (AI systems should be understandable) and Privacy and Security (AI systems should be secure and respect privacy).

Google appears to be stumbling down a road to best practices. The company formed an ethics panel in April to help guide AI issues, but disbanded it a week later due to protests over the appointment of a Heritage Foundation executive to the panel. In addition, Google employees pushed back on the company’s AI project for the U. S. military. Its published do not address data privacy.

There are leading-edge regulations that will help with AI data privacy, such as Europe’s General Data Protection Regulation (GDPR). California will put into effect the California Consumer Privacy Act in January 米兜彩票网, which will affect 40 million Americans. But these are exceptions. The U.S. Senate introduced a federal bill for debate in 2017, but it has gotten nowhere to date.

A Siloed Approach: Five Elements of Privacy Legislation

How these regulations will help sort out the control of private data varies by regulatory body, but they are foundations that can be refined. In an article exploring AI privacy concerns, spoke with Bernhard Debatin, Ohio University professor and director of the Institute for Applied and Professional Ethics. Debatin said good privacy legislation in the age of AI should cover five elements:

  1. AI systems must be transparent.
  2. An AI must have a “deeply rooted” right to the information it is collecting.
  3. Consumers must be able to opt out of the system.
  4. The data collected and the purpose of the AI must be limited by design.
  5. Data must be deleted upon consumer request.

This type of rationale makes sense and decouples the original use and intent from the confusion of daisy-chained data access. It is a siloed approach that, in many ways, flies in the face of AI’s strength, which is connecting the dots across disparate data. There will likely be a great deal of pushback from enterprises if regulations were to include all of these elements, particularly from those in the advertising and marketing businesses. Platforms that hold so much personal data, such as Google, Apple, Microsoft, Baidu, Tencent, and telecom operators, as well as brands, marketers, and advertising agencies, typically depend on either providing or consuming downstream use of data.

There will also be the question of cost. Who pays for consumer opt-out systems? Who pays for deleting consumer data? Will the business cases for this type of siloed approach show a positive ROI? Should consumers bear some of the cost of protecting their data, or conversely, should consumers be compensated for the use of their data?

This struggle to manage and control personal data in the AI era will likely open the door to market disruptors. Such companies will seize the opportunity to provide some of these middleman, enterprise, and consumer services.

]]>
Mark Beccue http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./artificial-intelligence/ai-ethics-if-data-is-the-new-oil-who-owns-the-mineral-rights/ AI Ethics: If Data Is the New Oil, Who Owns the Mineral Rights? 2019-11-18T14:57:05.v-07:00 This is the first installment of a series on AI ethics. As we near the end of 2019, artificial intelligence (AI) technology continues to steadily permeate our world. While promoters wax on about how AI is helping to track and save snow leopards, accurately predict high risk patients for atrial fibrillation (A-fib), and seamlessly solve […] 米兜彩票appai-ethics-if-data-is-the-new-oil-who-owns-the-mineral-rights

This is the first installment of a series on AI ethics.

As we near the end of 2019, artificial intelligence (AI) technology continues to steadily permeate our world. While promoters wax on about how AI is helping to track and save snow leopards, (A-fib), and seamlessly solve customer service issues, there is concern about how the use of AI technology can be controlled.

In Tractica’s view, the primary ethical issues for AI fall into four categories:

  • Privacy: Managing the use and ownership of personal data.
  • Accuracy/accountability: Trusting the results, accuracy, and decision-making of AI systems.
  • Bias: Recognizing AI systems’ ability/inability to eliminate bias given the limitations of accurate and complete data.
  • Propaganda generation: Managing the potential for AI systems to generate false information.

In this blog post, we examine how data privacy presents an ethics challenge for AI stakeholders.

A Growing Market

Tractica publishes a regularly updated database of market forecasts for more than 315 AI use cases. In the latest version, the cumulative software revenue associated with top 30 use cases is forecast to represent $272.4 billion between 2018 and 2025. Data privacy significantly affects 18 of those 30 use cases, representing an estimated $171.2 billion.

Top 30 AI Use Cases by Cumulative Revenue: 2018-2025

Voice/speech recognition

Video surveillance

Network/IT operations monitoring and management

Customer service & marketing VDAs

Machine/vehicular object detection/identification/avoidance

Personalized tutoring and adaptive learning

Patent research and analysis

Querying image content

Predictive maintenance

Medical image analysis

Patient data processing

Localization and mapping

Sentiment analysis

AR/VR development

Ad targeting and media buying

Converting paperwork into digital data

Ad insertions into images and video

Prevention against cybersecurity threats

Algorithmic trading strategy performance improvement

Intelligent recruitment and HR systems

Sensor data fusion in machinery

Automated report generation

Game development

Healthcare VDAs

Human emotion analysis

Face recognition

Air traffic control and management

Intelligent CRM systems

Sensor data analytics

E-commerce & sales VDAs

(*Use cases in bold significantly affected by data privacy)

(Source: Tractica)

As a backdrop, the depth and breadth of personal data being generated, stored, and used are growing exponentially. Entities that gain permission to use personal data through complex acceptance agreements sometimes share that data with other entities. Thus, it is difficult to know who has access to personal data – and when.

Dangers of the New Oil

Data is famously the new oil. For AI, data is lifeblood; AI essentially doesn’t work without it. In our connected, digital world, enterprises need data to survive and thrive, but increasingly, consumers are wary of personal data use. There is certainly a debate about who owns and controls data and when it can be used.

In a quick sampling of the use cases listed, consider the following:

  • Voice/speech recognition: When is it proper for smart speakers to be listening to and collecting data? What can or should they collect?
  • Video surveillance: Where does the data collected from your 米兜彩票app security system go? Does the government have the right to record your movements?
  • Customer service & marketing virtual digital assistants (VDAs): For companies to deliver the best virtual agent customer service, personal context data, such as your account information, customer history, location, etc. is needed. How much do you want virtual agents in customer service to know?
  • Localization and mapping: Your smartphone delivers accurate location information. What companies/institutions are you willing to share your location with and when?
  • Sentiment, human emotion analysis: AI systems can, to a great extent, understand your mood. What companies/institutions are you willing to share that with and when?

AI Best Practices and Regulation

As with most technological advances, regulations and laws lag market advancement. Best practices and self-regulation typically materialize first, and that is true in the case of data privacy for AI. Market leaders like Microsoft and Google have published best practices.

Microsoft calls its guidance , which are six principles aimed to “guide the development and use of artificial intelligence.” In regard to privacy, two Microsoft principles are relevant: Transparency (AI systems should be understandable) and Privacy and Security (AI systems should be secure and respect privacy).

Google appears to be stumbling down a road to best practices. The company formed an ethics panel in April to help guide AI issues, but disbanded it a week later due to protests over the appointment of a Heritage Foundation executive to the panel. In addition, Google employees pushed back on the company’s AI project for the U. S. military. Its published do not address data privacy.

There are leading-edge regulations that will help with AI data privacy, such as Europe’s General Data Protection Regulation (GDPR). California will put into effect the California Consumer Privacy Act in January 米兜彩票网, which will affect 40 million Americans. But these are exceptions. The U.S. Senate introduced a federal bill for debate in 2017, but it has gotten nowhere to date.

A Siloed Approach: Five Elements of Privacy Legislation

How these regulations will help sort out the control of private data varies by regulatory body, but they are foundations that can be refined. In an article exploring AI privacy concerns, spoke with Bernhard Debatin, Ohio University professor and director of the Institute for Applied and Professional Ethics. Debatin said good privacy legislation in the age of AI should cover five elements:

  1. AI systems must be transparent.
  2. An AI must have a “deeply rooted” right to the information it is collecting.
  3. Consumers must be able to opt out of the system.
  4. The data collected and the purpose of the AI must be limited by design.
  5. Data must be deleted upon consumer request.

This type of rationale makes sense and decouples the original use and intent from the confusion of daisy-chained data access. It is a siloed approach that, in many ways, flies in the face of AI’s strength, which is connecting the dots across disparate data. There will likely be a great deal of pushback from enterprises if regulations were to include all of these elements, particularly from those in the advertising and marketing businesses. Platforms that hold so much personal data, such as Google, Apple, Microsoft, Baidu, Tencent, and telecom operators, as well as brands, marketers, and advertising agencies, typically depend on either providing or consuming downstream use of data.

There will also be the question of cost. Who pays for consumer opt-out systems? Who pays for deleting consumer data? Will the business cases for this type of siloed approach show a positive ROI? Should consumers bear some of the cost of protecting their data, or conversely, should consumers be compensated for the use of their data?

This struggle to manage and control personal data in the AI era will likely open the door to market disruptors. Such companies will seize the opportunity to provide some of these middleman, enterprise, and consumer services.

]]>
Mark Beccue http://tractica./feed/ 米兜彩票官网Blog
http://tractica./artificial-intelligence/modernizing-waste-management-through-ai/ Modernizing Waste Management through AI 2019-11-15T11:28:35.v-07:00 One of the most challenging aspects of managing any municipality or community is managing the waste generated by consumers, businesses,... More 米兜彩票appmodernizing-waste-management-through-ai

One of the most challenging aspects of managing any municipality or community is managing the waste generated by consumers, businesses, and the public sector. This waste accounts for 230 million tons of trash each year, according to the Annenberg Foundation. While specific efforts to reduce the use of packaging material may ultimately reduce the amount of garbage produced over time, all communities have produced and will continue to produce waste. This is defined as a combination of materials that can be recycled, materials that are destined for landfills, and materials that must be disposed of carefully due to their contents.

Managing this waste traditionally was a largely manual process, but artificial intelligence (AI) is starting to be utilized in some communities to remove much of the labor, and therefore costs, involved with managing and processing waste. By incorporating a variety of technologies, including machine learning (ML), deep learning (DL), and computer vision, a number of solutions have emerged that are likely to improve the efficiency and productivity of waste management.

Waste Sorting

One way AI is being utilized is by training waste sorting robots that can be used at garbage dumps. Rather than needing to have workers sort through garbage, these autonomous robots are trained using ML algorithms to identify and process waste based on the type of garbage. The algorithms are trained on images of various types of waste. Using computer vision, the robots can sort through waste and match garbage based on specific characteristics, much in the same way humans might compare pieces of garbage. Most importantly, the machines will continue to learn over time and are more efficient than humans.

For example, SamurAI, a robotic innovation developed by showcased at the 2018 Waste Expo conference, can use AI to recognize recyclables such as cartons, plastic bottles, and containers. The robot then uses a suction cup to pick up the item and place it into the correct bin. After the robot identifies the object, it uses a suction cup to pick it up and place it into the correct bin. According to the company, SamurAI can perform up to 70 picks every minute, twice as productive as humans. Lakeshore Recycling Systems, a large recycling company in Illinois, installed SamurAI in its Forest View recycling plant. It does the work of two humans and saves the company up to about $130,000 a year.

Intelligent Trash Bins

are fitted with computer vision sensors to identify the type of garbage being thrown inside them. For example, a system developed by uses an ML algorithm to train the system to identify and categorize the type of trash being thrown away, and then the waste is sorted into bins by type. As such, all of the sorting is carried out as the waste is being disposed, eliminating the need to sort through large piles of waste at the waste processing center.

Further, the system can sense when the trash bin is full, allowing the collection schedule to be optimized. Instead of sending collection trucks out on a predefined schedule, when bins are partially filled, collection routes can be optimized to only visit the locations where bins are filled. Such optimization improves collection speed, lowers human labor costs, and reduces fuel costs.

Waste Stream Sorting

Ideally, waste would be sorted at the point of collection, as in the example above. But some waste cannot be separated by the consumer, and AI technology is being developed to handle this downstream waste sorting task.

In 2019, unveiled its GAIN technology, which is a DL-based sorting technology designed for accurate, high throughput sorting tasks. The GAIN technology uses DL to remove PE silicone cartridges from a polyethylene (PE) stream via the use of computer vision information. Separation of silicon from the cartridges is required to ensure the purity of the waste stream.

The GAIN technology is fed thousands of images of waste types, and the system employs DL to learn how to connect the artificial neurons to classify objects. It can thus more quickly identify different types of silicon cartridges, double cartridges, and even deformed or partially destroyed cartridges without explicitly being trained on images depicting these objects. According to TOMRA, the GAIN system has achieved an overall ejection of 99% of the cartridges using two systems in a sequence.

Improving Efficiency and Reducing Human Labor Costs

The overall goal with this AI use case is to address waste management at all phases: at the initial point of waste disposal, during waste collection, and at waste processing plants. By using ML, DL, and computer vision technology, waste collection and management processes can be made more efficient and effective, and the human labor costs required to accomplish these tasks can be reduced.

These waste management use cases are just a part of the new AI use cases that are likely to power the development of smart cities. This is the subject of Tractica’s forthcoming report, Artificial Intelligence for Smart City Applications, which is projected to be released by 1Q 米兜彩票网.

]]>
Keith Kirkpatrick http://tractica./feed/ 米兜彩票官网Blog
http://tractica./newsroom/press-releases/collaborative-robotics-market-value-to-reach-9-7-billion-by-2025/ Collaborative Robotics Market Value to Reach $9.7 Billion by 2025 2019-11-12T08:00:43.v-07:00 As the implementation of smart factories surges forward, more companies are becoming aware of the growing importance of and uses... More As the implementation of smart factories surges forward, more companies are becoming aware of the growing importance of and uses for collaborative robots (known as cobots), according to a new report from Tractica. Still, a gap exists in understanding what these robots are as well as the implications for businesses.

Large company adoption of cobots is already occurring and benefits such as lower costs, increased safety, flexibility, and personnel efficiencies are the key driving factors for cobot demand in small and medium enterprises as well. More startups are entering the industry with new user-friendly cobot offerings, making the market increasingly competitive and diverse. Even with potential barriers such as high potential costs and significant planning, deployment, and training time, Tractica forecasts that the global cobot market will continue growing rapidly over the next few years, reaching revenue of $9.7 billion by 2025.

米兜彩票app

“New opportunities are opening in the market as makers develop cobots with higher payload capacities and speed. The integration of cobots with the industrial Internet of Things (IIoT) opens new possibilities for the coordination of cobots doing smart manufacturing with the rest of the automation processes,” says senior analyst Glenn Sanders. “Humanlike abilities of perception, object recognition, gripping and manipulating objects, and dual grippers present the potential to drive greater demand in the coming years.”

Tractica’s report, “Collaborative Robots”, examines the market issues surrounding cobots and presents 8-year revenue forecasts for the industry. The report discusses the crucial market drivers, challenges, and industry applications, in addition to assessing the most important technology issues that will influence market development. Tractica profiles the top 17 industry players, organized by pure cobot vendors, industrial robot vendors, end-of-arm tooling vendors, and software framework providers. An information bank of 82 key and emerging companies is also included in this report. Market forecasts, segmented by industry, payload capacity, and application, extend through 2025. An Executive Summary of the report is available for free download on the firm’s website.

]]>
sherrilhanson http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./newsroom/press-releases/cellular-v2x-components-market-to-grow-rapidly-as-oems-build-connectivity-into-new-vehicle-models/ Cellular V2X Components Market to Grow Rapidly as OEMs Build Connectivity into New Vehicle Models 2019-10-31T08:00:24.v-06:00 Driving authorities around the world are encouraging ?or mandating ?the deployment and use of vehicle-to-everything (V2X) for safety... More Driving authorities around the world are encouraging – or mandating – the deployment and use of vehicle-to-everything (V2X) for safety and traffic management, according to a new report from Tractica. The arrival of 5G brings enhanced capabilities for C-V2X using the dedicated spectrum set aside for intelligent transportation applications and network-based automotive applications of many kinds.

However, vehicle connectivity is an extremely complicated topic. The number of standards bodies, industry associations, and technology vendors is very large. There are also many vested interests – political as well as commercial – and a long legacy of trial after trial, with little mass-market adoption. Still, Tractica expects the market for in-vehicle V2X components to grow rapidly from 2019 as automotive OEMs begin to build C-V2X and 802.11p connectivity into new vehicles, peaking at $39.2 billion in 2023 and remaining above $35 billion annually from that point until 2030.

米兜彩票app

“The introduction of V2X will bring a range of benefits, including reduced numbers of road traffic accidents and injuries, and consequent savings to society in the form of fewer personal injury payments and lower costs associated with the repair of vehicles,” says contributing analyst Simon Sherrington. “At the same time, large-scale transport systems employing V2X technologies are expected to bring increased economic productivity by improving transport efficiency.”

Tractica’s report, “Cellular V2X”, examines the reasons cars are becoming more connected and the drivers and barriers related to V2X communications. It provides historical and technical context for today’s technology and market war between networks based on the 802.11p and 3GPP C-V2X standards and explains the position of various industry stakeholders. The report also summarizes the key trials and use cases of C-V2X around the world and profiles the most important players in the market. Finally, it provides 2019-2030 forecasts of the C-V2X and 802.11p vehicle technology component, network and roadside infrastructure, and service aspects of the V2X market. An Executive Summary of the report is available for free download on the firm’s website.

]]>
sherrilhanson http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./advanced-computing/achieving-quantum-supremacy-a-new-era-for-quantum-computing/ Achieving Quantum Supremacy: A New Era for Quantum Computing? 2019-10-29T17:07:32.v-06:00 According to a recent report published in the journal Nature, researchers and scientists at Google claim that a quantum computer... More 米兜彩票appachieving-quantum-supremacy-a-new-era-for-quantum-computing

According to a published in the journal Nature, researchers and scientists at Google claim that a quantum computer performed a computational task that would be impossible for a conventional computer to complete. Thus, it demonstrated what is known as “quantum supremacy” for the first time ever.

According to the report, Google’s 53-qubit Sycamore quantum computing machine was able to finish a computing task in 200 seconds. This was significantly faster than the 10,000 years it would take the world’s most powerful supercomputers to accomplish the same task. However, as Google acknowledges, the task involved executing a randomly chosen sequence of instructions, rather than solving a real-world problem. And that’s why despite the optimism, many in the quantum computing community view the achievement as a milestone along a very long journey to building quantum computers that can effectively and efficiently address specific real-world use cases.

So, does Google’s announcement signal a new era for quantum computing? Does it herald an era marked by more frequent technological achievements that will generate headlines in and beyond the technology press? It may be too soon to tell, but John Preskill, the physicist at Caltech who coined the term “quantum supremacy” itself 7 years ago, is somewhat circumspect. Preskill told the Los Angeles Times that the announcement “won’t change anything overnight, but it is significant that quantum computers are now at the stage that at least in some arena, they can outperform the best computers on Earth.”

Countering Claims

Of course, in the highly competitive quantum computing marketplace, Google’s competitors have expressed skepticism over the announcement. The Google researchers utilized IBM’s supercomputer to benchmark its quantum computer, which led to the claim that a classical machine would require 10,000 years to perform the random number error validation computation. However, according to a , IBM said that Google never optimized the IBM supercomputer prior to running the test. As per the blog, if properly tuned, the IBM supercomputer would’ve been able to solve the problem in just 2.5 days, thereby muting some of the enthusiasm surrounding Google’s announcement.

Regardless of IBM throwing water on Google’s work, a few key takeaways from the announcement are worth noting. First, there is still some debate as to what was actually proven or demonstrated by Google. Achieving quantum supremacy in a laboratory environment, focused on a very specific problem, is just a baby step on the way to being able to demonstrate quantum supremacy on other types of problems or calculations. While the researchers and scientists at Google should be commended for their efforts, a massive amount of work remains to be done in terms of developing quantum machines that can solve increasingly more complex problems. Further, it may not be possible to leverage or scale the knowledge gained in this initial solution to other problems. Solving random numerical problems is quite different than, say, designing a quantum machine that can calculate the millions of permutations in an optimization problem.

What Does It Mean for Commercial Deployments?

That leads to another key point. Google’s Sycamore computer is based on superconducting quantum technology. This is one approach to harnessing the power of qubits, or the tiny particles that can exist in multiple states at once, making them theoretically more powerful than the traditional electronic bits used in classical computers. But there are several different technical approaches to quantum computing being developed, including the use of trapped ions, topological qubits, and annealing technology, from a wide range of well-funded startups and legacy technology companies. It is simply unrealistic to expect that scientists from IBM, Intel, D-Wave Systems, Microsoft, Rigetti, and many others will abandon their specific approaches to developing a viable quantum computer based on a single announcement from Google.

Further, like any nascent technology, years of refinement and significant financial investment into research are necessary before quantum computing will be viable in commercial enterprises. After speaking with quantum computing vendors and commercial enterprises, Tractica believes that regardless of any progress made around the concept of quantum supremacy, most of the commercial activity in the next 5 to 10 years will be related to developing quantum-ready algorithms, as well as testing potential use cases. Quantum simulators and quantum-like processors will be used extensively. Any true quantum computing technology that is deployed in the next few years will be used as an accelerator to support traditional computing systems during very specific and narrow tasks.

Additional insight into the quantum computing market, as well as a market forecast covering the 2018-2030 time period, can be found in Tractica’s report, Quantum Computing for Enterprise Markets.

]]>
Keith Kirkpatrick http://tractica./feed/ 米兜彩票官网Blog
http://tractica./newsroom/press-releases/as-the-artificial-intelligence-market-expands-new-cloud-and-enterprise-data-center-hardware-is-being-developed-spurring-revenue-of-50-billion-annually-by-2025/ As the Artificial Intelligence Market Expands, New Cloud and Enterprise Data Center Hardware is Being Developed, Spurring Revenue of $50 Billion Annually by 2025 2019-10-24T18:05:25.v-06:00 Data center infrastructure, specifically computing, memory, storage, and networking, is in the process of going through a reboot to support... More Data center infrastructure, specifically computing, memory, storage, and networking, is in the process of going through a reboot to support the growing artificial intelligence (AI) market, according to a new report from Tractica. Though AI represents just a small portion of a cloud data center’s workload and an even smaller portion of an enterprise’s workload, it drives a different type of application profile and thus requires different architectures and components.

Advances in technology have played a major part in enabling AI expansion and market penetration. In turn, AI applications are driving the development of new silicon and system architectures, storage and networking options, and delivery models. Meanwhile, enterprises are not abandoning on-premise computing and while hyperscalers have been driving AI implementation in the cloud, there is corresponding demand for on-premise and colocated solutions from early adopter enterprises. Tractica forecasts that global revenue for cloud and enterprise data center hardware for AI will reach almost $50 billion annually by 2025.

米兜彩票app

“Innovations in computing, chipsets, storage, and networking will continue into the future, and these functions will get refined and optimized in order to support artificial intelligence,” says principal analyst Alan A. Varghese. “Hybrid architectures such as public-private clouds will continue to find traction, and the industry will innovate unique implementations that move fluidly between hyperscaler data centers, colocation providers, edge sites, and on-premise.”

Tractica’s report, “Artificial Intelligence in Cloud and Enterprise Data Center Hardware”, examines the AI applications in business, consumer, and government that are driving requirements in AI infrastructure, especially the compute, storage, and networking functions in cloud and enterprise data centers. The report also catalogs the changing nature of the market, ecosystem, vendors, and technologies, including the underlying semiconductors powering the next generation in AI. Market forecasts include infrastructure hardware spend from 2018 to 2025 segmented by region, function, chipset, delivery model, and enterprise vertical. An Executive Summary of the report is available for free download on the firm’s website.

]]>
sherrilhanson http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./robotics/meeting-the-needs-of-smart-factories-modular-robots/ Meeting the Needs of Smart Factories: Modular Robots 2019-10-22T11:22:55.v-06:00 Most robots and collaborative robots (cobots) have a fixed configuration and structure. This works well for the applications for which... More 米兜彩票appmeeting-the-needs-of-smart-factories-modular-robots

Most robots and collaborative robots (cobots) have a fixed configuration and structure. This works well for the applications for which they were designed. But what if the owner wants to use the robot for a new application? It would be useful if the joints and shape of the robot could be reconfigured when needed. Modular robots provide the solution and the flexibility to meet the needs of smart factories, as well as client expectations of shorter turnaround and customization. This is the idea behind modular robots. Let’s look at a few examples.

Modbot describes its product (pictured below) as adaptable arms that use software-defined robotics powered by flexible modular hardware to solve thousands of different automation problems. (This could be a useful definition for modular robots.) Its system includes a programming interface and integration development software designed to make setup and integration easy and quick.
米兜彩票app

(Source: Modbot)

Like many of the new robot and cobot companies, Modbot includes an easy-to-use web-based programming interface. The robots are taught by moving the robot arm and joints into the positions they need to perform.

The advantage of modular hardware and software is the ability to set up the robot the way you need it. As requirements change or new use cases arise, the joints can be quickly rearranged and the software reprogrammed to match the new configuration that is required. Applications for Modbot’s products include inspection, dispensing, polishing, assembly, food preparation, drilling, pick & place, and torquing.

Another type of modularity comes in the form of modular robot work cells. Allied Technology is a machine builder and robotics integrator that creates flexible, modular robot cells. It uses cobots like the from Universal Robots to create robot cells that are designed to be easily implemented and redeployed.

米兜彩票app

(Source: Allied Technology)

The work cells are designed to require minimal modification to suit specific use cases, and the software allows users to simply reteach waypoints if the configuration changes. Allied’s goal is to provide cobot and that are modular, scalable, flexible, and easily redeployed for future needs. This enables systems to be reused as products and production lines change in the future, which Allied refers to as “future-proofing your production.”

A third type of modularity comes in the form of modular parts that can be easily replaced by the owner. The Kinova Gen3 ultra lightweight robot arm has a modular design that allows for easy reconfiguration. In addition to the arm components, the actuators are also modular. If an actuator breaks or wears out, it can easily be replaced by non-technical personnel. This reduces downtime and eliminates the need for highly skilled maintenance staff.

米兜彩票app

(Source: Kinova)

The arm is powered by two sets of three identical, interchangeable, and easy-to-replace aluminum actuators linked together by a zero insertion force (ZIF) cable. Its segments are made entirely of carbon fiber to deliver optimal strength and durability with minimum weight. Kinova’s arm is mounted on a standard aluminum support structure that can be affixed to almost any surface, including mobile robots.

Modularity and the Future of Robotics

Customers are demanding greater variety and expect their products to arrive quickly. Such demand drives manufacturers to make their production more flexible to enable low volume, high mix production. At the same time, these smart factories need to rapidly adapt to production changes. The advantages of modular robots are thus even more compelling, and there is a strong incentive for companies to invest in them. This is likely to propel demand for modularity, which will lead more robot makers to design and bring modular robots to market. We expect to see an increasing number of makers selling modular arms, work cells, and components in the coming years, and this trend will become the standard, rather than the exception.

Tractica plans to cover this topic in our upcoming report, Collaborative Robots, and as part of our Robotics Advisory Service.

]]>
Glenn Sanders http://tractica./feed/ 米兜彩票官网Blog
http://tractica./artificial-intelligence/ai-can-optimize-the-review-and-analysis-of-legal-contracts/ AI Can Optimize the Review and Analysis of Legal Contracts 2019-10-18T14:03:49.v-06:00 Automation is the key to gaining efficiency in many industries. But for some types of work, basic automation, often referred... More 米兜彩票appai-can-optimize-the-review-and-analysis-of-legal-contracts

Automation is the key to gaining efficiency in many industries. But for some types of work, basic automation, often referred to as robotic process automation (RPA), won’t suffice due to the complexity of the tasks. These can include assessing and analyzing content, finding patterns in data, and making decisions based on those findings.

The legal industry is one vertical market that is ripe for increasing automation, particularly with respect to the review and analysis of legal contracts. While some information in a contract can be considered standard or boilerplate, most contracts contain very deal- or situation-specific terms, conditions, dates, and language.

A hastily written or reviewed contract can wind up costing a company a lot of money. Busy law firms and legal departments generally do not have the time or resources to review every contract that is executed to ensure that every clause in a templated contract applies to a specific deal or agreement. If these standard clauses are not removed, it can affect the enforcement of a contract. Similarly, mistakes within a contract that are not found or corrected can also cause problems if the contract needs to be enforced.

Even when humans are able to review contracts, they have limits with respect to their ability to process information accurately. They get tired, can be distracted, or simply may not spot irregularities or errors due to a lack of experience reviewing contracts. That’s why artificial intelligence (AI) and machine learning (ML) are starting to be applied by legal departments and law firms to aid in this process.

Technology to the Rescue

There are several technologies that can be utilized to aid in the review and analysis of contracts. An older but still useful technology is optical character recognition (OCR), which is used to recognize the letters and words on printed contracts. An OCR engine can convert these characters to text that can be fed into a natural language processing (NLP) engine. The NLP engine can then process the text and apply meaning to that text.

By pre-training an NLP engine to recognize legal terms and phrases, a contract review application can quickly ascertain whether a contract contains incorrect or non-standard language. By incorporating subject-matter experts during this training process, the application can also extract and classify relevant information that can be used to analyze large batches of contracts with much greater speed and accuracy than humans. Further, anomalies can be automatically flagged and either sent for review by a human or corrected automatically if the contract-processing platform incorporates additional logic designed to process and apply corrections.

Other technology, including computer vision (CV), can be implemented to ensure that contracts to be executed have been signed in the appropriate places and that signatures match those on file (to prevent fraud). Deep learning (DL) can also be used to mine through troves of contracts to identify connections between contracts, as well as correlate the contracts with outcomes. This process can then pinpoint anomalies or issues with a specific contract or language within a contract that led to a positive or negative outcome, thereby providing guidance for writing future contracts.

Key Vendors and Case Studies: Saving Time and Money

Some of the key vendors in the space include , , and , among many others. A common trait among most vendors is their marketing pitch: the use of ML will not only save time and money but will also allow legal departments or firms to review all of their contracts. Further, ML will allow these departments or firms to extract information and insights from these documents and then prevent costly errors due to mistakes, omissions, or other anomalies.

One case study highlighting how AI-driven contract analysis and review technology can be used comes from one of Cortical.io’s solutions, which was deployed by an audit and management consulting company to review lease agreements. By integrating Cortical.io’s Contract Intelligence solution into the firm’s contract-processing workflow, data extraction models were trained on just 50 sample lease agreements. Then, as the solution was deployed, relevant information was extracted from newly reviewed contracts, and this information was classified and incorporated into various financial reporting documentation. The result was an 80% reduction in manual review and data extraction time, thereby enabling significant cost reductions.

Another example of how ML is being utilized in contract analysis comes from Kira Systems. This company’s Quick Study platform can be used to reduce the time to identify and extract pertinent information within contracts, which can then populate a contract lifecycle management (CLM) or contract management system (CMS). The solution is pre-trained to identify common data points and clauses within sales contracts, vendor agreements, nondisclosure agreements, and other contracts. Because the system uses ML to identify metadata, the format and wording in contracts can vary and the system will still extract the correct information. This information can then be validated by humans to improve the model over time.

Huge Potential

While these types of processes could be handled by humans, the incorporation of ML and automation means that a greater number of contracts can be read, analyzed, and reviewed with much greater consistency and accuracy. Scalability is also possible – without regard to workforce size or location.

Not surprisingly, vendors have realized that there is a huge opportunity for this type of software. Indeed, as Tractica notes in its report, Artificial Intelligence for Enterprise Applications, AI software used for contract analysis is expected to generate nearly $958 million in annual revenue by 2025, up from $85 million in 2019. Although there can be a ramp-up period required to train the models for a specific type of industry or contract, Tractica believes that the probable time and cost savings attached to AI contract analysis solutions are significant. These potential savings will generate substantial interest among corporate legal departments and law firms over the next several years.

]]>
Keith Kirkpatrick http://tractica./feed/ 米兜彩票官网Blog
http://tractica./newsroom/press-releases/the-commercial-drone-market-is-experiencing-steady-sustained-growth-and-consolidation-with-global-revenue-expected-to-reach-13-7-billion-by-2025/ The Commercial Drone Market Is Experiencing Steady, Sustained Growth and Consolidation, with Global Revenue Expected to Reach $13.7 Billion by 2025 2019-10-16T07:30:25.v-06:00 The market for unmanned aerial vehicles (UAVs), commonly known as a drones, is starting to realize its potential for commercial... More The market for unmanned aerial vehicles (UAVs), commonly known as a drones, is starting to realize its potential for commercial applications. Major players in many industries and government agencies have already taken the first steps to evaluate drone solutions and systems, according to a new report from Tractica.

The demand for commercial drones is being driven by such factors as expanding industry use cases, affordable hardware and services, high definition (HD) aerial imaging and sensing, integrated data intelligence, and the rapid ROI that drones provide to major industries. Tractica forecasts that the commercial drone market will continue growing rapidly over the next few years while providing significant opportunities to various industry participants, reaching global revenue of $13.7 billion by the end of 2025.

米兜彩票app

“The commercial drone market is focusing on core solutions where drones clearly excel,” says senior analyst Glenn Sanders. “The ability to demonstrate such effective solutions is the key determinant of which companies are likely to achieve long-term leadership and which may fall by the wayside. Now is the time for the companies to perfect their products and gain momentum, mindshare, and market share.”

Tractica’s report, “Drones for Commercial Applications”, examines the market and technology issues surrounding commercial drones and presents 8-year revenue forecasts for the industry from 2018 to 2025. The report discusses crucial market drivers, challenges, and regulatory issues, in addition to assessing the most important technology issues that will influence market development. In total, the top 25 major industry players are profiled, organized by hardware makers, flight management and drone services, data and analytics services, and delivery companies. An information bank of 201 key and emerging companies is included in the company directory. Market forecasts are segmented by world region, airframe type, industry, application, and customer type. An Executive Summary of the report is available for free download on the firm’s website.

]]>
sherrilhanson http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases
http://tractica./newsroom/press-releases/enterprise-artificial-intelligence-revenue-will-reach-107-3-billion-worldwide-by-2025-as-businesses-move-from-trials-to-deployments/ Enterprise Artificial Intelligence Revenue Will Reach $107.3 Billion Worldwide by 2025, as Businesses Move from Trials to Deployments 2019-10-02T00:05:28.v-06:00 sherrilhanson http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/outsmarting-ai-for-jobs/ Outsmarting AI for Jobs 2019-09-24T10:16:40.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./robotics/drone-threats-and-countermeasures/ Drone Threats and Countermeasures 2019-09-18T11:29:37.v-06:00 Glenn Sanders http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/is-nvidia-moving-toward-ai-chipset-world-domination/ Is NVIDIA Moving toward AI Chipset World Domination? 2019-09-17T09:41:06.v-06:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/the-telecommunications-industry-is-ripe-for-artificial-intelligence-driven-solutions-with-service-providers-expected-to-spend-11-2-billion-by-2025/ The Telecommunications Industry Is Ripe for Artificial Intelligence-Driven Solutions, with Service Providers Expected to Spend $11.2 Billion by 2025 2019-09-10T00:05:05.v-06:00 sherrilhanson http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/global-robotics-revenue-to-reach-248-5-billion-by-2025-as-the-market-for-non-industrial-robots-maintains-strong-growth/ Global Robotics Revenue to Reach $248.5 Billion by 2025, as the Market for Non-Industrial Robots Maintains Strong Growth 2019-09-06T00:05:05.v-06:00 sherrilhanson http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./robotics/the-very-real-dangers-of-hacked-drones/ The Very Real Dangers of Hacked Drones 2019-09-04T15:33:45.v-06:00 Glenn Sanders http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/the-quantum-computing-market-is-poised-for-strong-growth-with-global-revenue-to-reach-9-1-billion-by-2030/ The Quantum Computing Market Is Poised for Strong Growth with Global Revenue to Reach $9.1 Billion by 2030 2019-08-29T09:47:31.v-06:00 sherrilhanson http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/the-advantages-of-cloud-robotics-are-gaining-attention-with-global-revenue-expected-to-reach-170-4-billion-by-2025/ The Advantages of Cloud Robotics Are Gaining Attention with Global Revenue Expected to Reach $170.4 Billion by 2025 2019-08-28T00:05:04.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/risc-v-is-experiencing-a-period-of-optimism-and-growth-with-global-revenue-expected-to-reach-1-1-billion-by-2025/ RISC-V Is Experiencing a Period of Optimism and Growth with Global Revenue Expected to Reach $1.1 Billion by 2025 2019-08-27T00:05:45.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/the-smart-augmented-reality-glasses-market-is-poised-for-rapid-growth-with-global-shipments-to-reach-19-7-million-units-by-2025/ The Smart Augmented Reality Glasses Market Is Poised for Rapid Growth, with Global Shipments to Reach 19.7 Million Units by 2025 2019-08-26T00:05:18.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/digital-twins-market-growth-is-being-driven-by-industrial-digitization-and-the-demand-for-enhanced-simulation-capabilities-with-global-revenue-to-reach-9-4-billion-by-2025/ Digital Twins Market Growth Is Being Driven by Industrial Digitization and the Demand for Enhanced Simulation Capabilities, with Global Revenue to Reach $9.4 Billion by 2025 2019-08-26T00:03:23.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./robotics/robots-learning-to-recognize-faces-and-objects/ Robots Learning to Recognize Faces and Objects 2019-08-21T09:31:23.v-06:00 Glenn Sanders http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/a-glimpse-into-healthcare-ai-for-a-better-life/ A Glimpse into Healthcare AI for a Better Life 2019-08-16T08:45:06.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/informa-tech-and-ihs-markit-technology-join-forces/ Informa Tech and IHS Markit Technology Join Forces 2019-08-01T08:35:14.v-06:00 sherrilhanson http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/microsofts-openai-deal-puts-spotlight-on-access-to-high-end-ai-compute/ Microsoft’s OpenAI Deal Puts Spotlight on Access to High End AI Compute 2019-07-26T15:28:25.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./uncategorized/intel-is-tackling-the-challenges-of-the-intelligence-era/ Intel Is Tackling the Challenges of the Intelligence Era 2019-07-09T15:30:27.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/intel-is-tackling-the-challenges-of-the-intelligence-era/ Intel Is Tackling the Challenges of the Intelligence Era 2019-07-09T15:30:27.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./advanced-computing/enhancing-compute-storage-and-network-to-accelerate-ai-application/ Enhancing Compute, Storage, and Network to Accelerate AI Application 2019-06-26T12:28:39.v-06:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/ipsoft-analyst-event-2019-key-takeaways/ IPsoft Analyst Event 2019: Key Takeaways 2019-06-11T07:00:12.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/interactions-quietly-advancing-state-of-the-art-conversational-ai-virtual-assistants/ Interactions Quietly Advancing State-of-the-Art Conversational AI, Virtual Assistants 2019-05-27T23:01:57.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./advanced-computing/ensuring-secure-transmissions-via-quantum-key-distribution/ Ensuring Secure Transmissions via Quantum Key Distribution 2019-05-20T16:30:32.v-06:00 Keith Kirkpatrick http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/improving-patient-care-via-digital-twins/ Improving Patient Care via Digital Twins 2019-05-17T06:56:15.v-06:00 Keith Kirkpatrick http://tractica./feed/ 米兜彩票官网Blog http://tractica./advanced-computing/improving-patient-care-via-digital-twins/ Improving Patient Care via Digital Twins 2019-05-17T06:56:15.v-06:00 Keith Kirkpatrick http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/ai-based-automotive-hmi-software-market-to-reach-4-6-billion-worldwide-by-2025/ AI-Based Automotive HMI Software Market to Reach $4.6 Billion Worldwide by 2025 2019-05-08T00:05:57.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/construction-robotics-market-to-reach-226-million-worldwide-by-2025/ Construction Robotics Market to Reach $226 Million Worldwide by 2025 2019-05-07T00:05:16.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/pushing-the-full-stack-ai-portfolio-at-huawei-analyst-summit-2019/ Pushing the Full-Stack AI Portfolio at Huawei Analyst Summit 2019 2019-05-06T07:52:17.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/deep-learning-chipset-shipments-to-increase-to-2-9-billion-units-annually-by-2025/ Deep Learning Chipset Shipments to Increase to 2.9 Billion Units Annually by 2025 2019-05-06T00:05:00.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/machine-learning-developers-face-data-and-it-integration-challenges/ Machine Learning Developers Face Data and IT Integration Challenges 2019-05-03T15:03:30.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/agricultural-robot-shipments-to-reach-727000-units-annually-by-2025/ Agricultural Robot Shipments to Reach 727,000 Units Annually by 2025 2019-05-01T00:24:02.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/artificial-intelligence-software-market-to-reach-118-6-billion-in-annual-worldwide-revenue-by-2025/ Artificial Intelligence Software Market to Reach $118.6 Billion in Annual Worldwide Revenue by 2025 2019-04-30T00:12:52.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/ai-automation-of-telco-networks-requires-vision/ AI Automation of Telco Networks Requires Vision 2019-04-26T16:01:34.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/qualcomm-brings-30-years-of-experience-in-mobile-to-the-data-center/ Qualcomm Brings 30 Years of Experience in Mobile to the Data Center 2019-04-10T13:22:09.v-06:00 Kevin Burden http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/the-future-of-autonomous-stores-from-level-2-to-level-5/ The Future of Autonomous Stores: From Level 2 to Level 5 2019-04-08T17:59:32.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/the-promise-of-5g-and-ai-edge-data-centers/ The Promise of 5G and AI Edge Data Centers 2019-03-26T08:07:19.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/nvidia-expands-its-ai-edge-capabilities/ NVIDIA Expands its AI Edge Capabilities 2019-03-21T17:02:14.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./advanced-computing/quantum-volume-a-new-quantum-metric/ Quantum Volume: A New Quantum Metric? 2019-03-20T17:20:53.v-06:00 Keith Kirkpatrick http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/ai-for-music-creation/ AI for Music Creation 2019-03-19T14:25:14.v-06:00 Keith Kirkpatrick http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/use-cases-and-market-barriers-for-automotive-hmi-evolution/ Use Cases and Market Barriers for Automotive HMI Evolution 2019-03-18T21:41:04.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/assuring-manufacturing-product-quality-through-ai/ Assuring Manufacturing Product Quality through AI 2019-03-18T15:38:04.v-06:00 Keith Kirkpatrick http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/market-drivers-for-automotive-hmi-evolution/ Market Drivers for Automotive HMI Evolution 2019-03-18T08:37:11.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/artificial-intelligence-is-gaining-increasing-traction-in-the-manufacturing-sector-with-annual-spending-on-ai-software-hardware-and-services-to-reach-13-2-billion-by-2025/ Artificial Intelligence Is Gaining Increasing Traction in the Manufacturing Sector, with Annual Spending on AI Software, Hardware, and 米兜彩票网 to Reach $13.2 Billion by 2025 2019-03-11T00:05:57.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/natural-language-processing-is-a-key-engine-of-ai-market-growth-enabling-44-discrete-use-cases-across-17-industries/ Natural Language Processing Is a Key Engine of AI Market Growth, Enabling 44 Discrete Use Cases Across 17 Industries 2019-02-06T00:05:24.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/consumer-robot-shipments-will-surpass-65-million-units-annually-by-2025/ Consumer Robot Shipments Will Surpass 65 Million Units Annually by 2025 2019-02-04T00:05:02.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/nvidia-is-moving-faster-than-the-competition-in-the-ai-chipset-industry/ Nvidia Is Moving Faster Than the Competition in the AI Chipset Industry 2019-02-01T21:13:00.v-07:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/warehousing-and-logistics-robot-shipment-to-reach-nearly-1-million-units-annually-by-2022/ Warehousing and Logistics Robot Shipment to Reach Nearly 1 Million Units Annually by 2022 2019-02-01T00:05:25.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/3d-imaging-sensor-and-hardware-subsystem-market-to-reach-57-9-billion-worldwide-by-2025/ 3D Imaging Sensor and Hardware Subsystem Market to Reach $57.9 Billion Worldwide by 2025 2019-01-23T07:04:55.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./user-interface-technologies/voice-assistants-at-ces-2019-auto-welcome-to-fantasyland/ Voice Assistants at CES 2019 Auto? Welcome米兜彩票网 to Fantasyland 2019-01-18T17:03:48.v-07:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/ces-2019-searching-for-ai-and-robotics-innovation/ CES 2019: Searching for AI and Robotics Innovation 2019-01-17T16:11:06.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/data-labelings-link-to-human-evolution/ Data Labeling’s Link to Human Evolution 2019-01-03T10:24:49.v-07:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/artificial-intelligence-capabilities-and-commercial-applications-will-continue-to-progress-rapidly-in-2019-but-growth-will-also-bring-growing-pains/ Artificial Intelligence Capabilities and Commercial Applications Will Continue to Progress Rapidly in 2019, But Growth Will Also Bring Growing Pains 2018-12-31T00:05:12.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/the-growth-of-non-industrial-robotics-is-driving-a-diversification-of-new-robotics-applications/ The Growth of Non-Industrial Robotics Is Driving a Diversification of New Robotics Applications 2018-12-20T00:05:04.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/artificial-intelligence-deployments-have-expanded-to-include-258-unique-use-cases-across-enterprise-consumer-and-government-markets/ Artificial Intelligence Deployments Have Expanded to Include 258 Unique Use Cases Across Enterprise, Consumer, and Government Markets 2018-12-19T00:05:23.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/new-architectures-emerge-in-the-ai-chipset-race/ New Architectures Emerge in the AI Chipset Race 2018-12-16T16:08:42.v-07:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/ai-chip-companies-continue-to-raise-more-capital/ AI Chip Companies Continue to Raise More Capital 2018-12-14T16:22:28.v-07:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/qualcomms-100-million-startup-fund-focused-on-edge-ai/ Qualcomm’s $100 Million Startup Fund Focused on Edge AI 2018-12-02T22:44:37.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/deep-learning-software-revenue-will-grow-from-3-billion-in-2017-to-67-2-billion-annually-by-2025/ Deep Learning Software Revenue Will Grow from $3 Billion in 2017 to $67.2 Billion Annually by 2025 2018-11-26T00:05:49.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/healthy-appetite-for-ai-in-africa-but-risks-remain/ Healthy Appetite for AI in Africa, but Risks Remain 2018-11-23T10:57:38.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/huawei-is-pushing-for-ai-training-at-the-edge/ Huawei Is Pushing for AI Training at the Edge 2018-11-11T17:09:21.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/reinforcement-learning-a-trend-to-watch-in-2019/ Reinforcement Learning: A Trend to Watch in 2019 2018-11-11T13:58:39.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/ai-will-eliminate-your-drive-through-frustrations/ AI Will Eliminate Your Drive-Through Frustrations 2018-11-11T13:32:14.v-07:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/artificial-intelligence-market-in-asia-pacific-to-grow-from-6-billion-in-2017-to-136-billion-by-2025/ Artificial Intelligence Market in Asia Pacific to Grow from $6 Billion in 2017 to $136 Billion by 2025 2018-11-06T02:31:37.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/the-artificial-intelligence-market-ecosystem-is-expanding-and-diversifying-rapidly-with-more-than-1000-companies-actively-driving-innovation-in-the-market/ The Artificial Intelligence Market Ecosystem is Expanding and Diversifying Rapidly, with More than 1,000 Companies Actively Driving Innovation in the Market 2018-11-05T06:22:54.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/junipers-approach-the-spark-for-ai-driven-networks/ Juniper’s Approach: The Spark for AI-Driven Networks? 2018-11-04T08:42:15.v-07:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/huawei-goes-all-in-with-full-stack-ai-competing-head-to-head-with-google/ Huawei Goes All-In with Full Stack AI, Competing Head-to-Head with Google 2018-10-19T02:46:04.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/nvidias-inference-push-for-ai/ NVIDIA’s Inference Push for AI 2018-10-08T03:47:27.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/open-platforms-are-the-need-of-the-hour-for-enterprise-ai/ Open Platforms Are the Need of the Hour for Enterprise AI 2018-10-08T03:22:04.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/the-voice-enabled-car-of-the-future/ The Voice-Enabled Car of the Future 2018-10-08T02:51:45.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/artificial-intelligence-edge-device-shipments-to-reach-2-6-billion-units-annually-by-2025/ Artificial Intelligence Edge Device Shipments to Reach 2.6 Billion Units Annually by 2025 2018-09-13T00:43:31.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/the-evolution-of-ai-applications-is-driving-the-need-for-new-chipset-solutions/ The Evolution of AI Applications Is Driving the Need for New Chipset Solutions 2018-09-12T14:01:54.v-06:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/how-will-5g-impact-ai-processing-at-the-edge/ How Will 5G Impact AI Processing at the Edge? 2018-09-07T18:09:15.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/indias-ai-ambitions-outweigh-its-ability/ India’s AI Ambitions Outweigh Its Ability 2018-09-04T17:22:41.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/simulation-technology-driving-the-autonomous-vehicle-training-market/ Simulation Technology Driving the Autonomous Vehicle Training Market 2018-09-04T09:21:15.v-06:00 Keith Kirkpatrick http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/in-car-assistants-bring-voice-ai-to-the-masses/ In-Car Assistants Bring Voice AI to the Masses 2018-08-29T18:13:42.v-06:00 Keith Kirkpatrick http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/enterprise-blockchain-revenue-to-surpass-20-billion-by-2025/ Enterprise Blockchain Revenue to Surpass $20 Billion by 2025 2018-08-28T00:05:03.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/pre-cert-program-may-hold-the-key-to-fda-approval-of-healthcare-focused-ai-software/ Pre-Cert Program May Hold the Key to FDA Approval of Healthcare-Focused AI Software 2018-08-27T13:53:14.v-06:00 Keith Kirkpatrick http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/ai-takes-on-telecom-customer-service/ AI Takes On Telecom Customer Service 2018-08-27T11:53:42.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/healthcare-artificial-intelligence-software-hardware-and-services-market-to-surpass-34-billion-worldwide-by-2025/ Healthcare Artificial Intelligence Software, Hardware, and 米兜彩票网 Market to Surpass $34 Billion Worldwide by 2025 2018-08-27T00:05:34.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/commercial-drone-enabled-services-revenue-to-reach-22-7-billion-worldwide-by-2026/ Commercial Drone-Enabled 米兜彩票网 Revenue to Reach $22.7 Billion Worldwide by 2026 2018-08-22T07:57:58.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/the-ai-driven-telecom-network-is-near-necessary/ The AI-Driven Telecom Network Is Near & Necessary 2018-08-20T17:54:53.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/artificial-intelligence-software-market-to-reach-105-8-billion-in-annual-worldwide-revenue-by-2025/ Artificial Intelligence Software Market to Reach $105.8 Billion in Annual Worldwide Revenue by 2025 2018-08-20T06:57:53.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./user-interface-technologies/biggest-voice-ai-opportunity-electronic-health-records/ Biggest Voice AI Opportunity: Electronic Health Records? 2018-08-17T16:15:26.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/automotive-artificial-intelligence-software-hardware-and-services-market-to-reach-26-5-billion-by-2025/ Automotive Artificial Intelligence Software, Hardware, and 米兜彩票网 Market to Reach $26.5 Billion by 2025 2018-08-16T07:06:30.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/quantum-computing-a-nascent-market-on-the-rise/ Quantum Computing: A Nascent Market on the Rise 2018-08-14T22:25:41.v-06:00 Keith Kirkpatrick http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/voice-and-speech-recognition-software-market-to-reach-6-9-billion-by-2025/ Voice and Speech Recognition Software Market to Reach $6.9 Billion by 2025 2018-08-14T09:39:06.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/enterprise-quantum-computing-market-to-reach-2-2-billion-by-2025/ Enterprise Quantum Computing Market to Reach $2.2 Billion by 2025 2018-08-13T00:05:42.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./blog/tractica-has-joined-informa/ Tractica Has Joined Informa 2018-07-13T12:18:45.v-06:00 Clint Wheelock http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/china-ai-edge-hardware-and-governance/ China米兜彩票网, AI Edge Hardware, and Governance 2018-07-12T16:56:38.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/explainable-ai-and-its-impact-on-ai-adoption/ Explainable AI and Its Impact on AI Adoption 2018-07-08T17:57:03.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/smart-米兜彩票app-use-cases-that-require-an-ai-powered-user-interface/ Smart 米兜彩票官网 Use Cases that Require an AI-Powered User Interface 2018-06-20T17:15:38.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/innovation-in-video-analytics-a-dialogue-with-briefcams-ceo/ Innovation in Video Analytics: A Dialogue with BriefCam’s CEO 2018-06-19T16:18:36.v-06:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/smart-米兜彩票app-interfaces-voice-gesture-or-other/ Smart 米兜彩票官网 Interfaces: Voice, Gesture, or Other? 2018-06-05T10:28:40.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/who-will-go-into-volume-production-first-for-ai-asics/ Who Will Go into Volume Production First for AI ASICs? 2018-05-31T10:03:11.v-06:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/telecom-operators-using-ai-to-boost-intelligent-customer-relationship-management/ Telecom Operators Using AI to Boost Intelligent Customer Relationship Management 2018-05-30T10:57:07.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/deep-learning-chipset-market-to-reach-66-3-billion-by-2025/ Deep Learning Chipset Market to Reach $66.3 Billion by 2025 2018-05-30T00:05:46.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/enterprise-high-performance-computing-market-to-reach-31-5-billion-by-2025/ Enterprise High Performance Computing Market to Reach $31.5 Billion by 2025 2018-05-30T00:05:12.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/enterprise-virtual-reality-hardware-and-software-market-to-reach-12-6-billion-by-2025/ Enterprise Virtual Reality Hardware and Software Market to Reach $12.6 Billion by 2025 2018-05-29T00:05:03.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/robotics-market-restructuring-continues-as-non-industrial-robots-are-poised-to-exceed-75-percent-of-total-revenue-by-the-end-of-2018/ Robotics Market Restructuring Continues as Non-Industrial Robots Are Poised to Exceed 75 Percent of Total Revenue by the End of 2018 2018-05-25T00:05:15.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/will-analog-chip-technology-become-relevant-for-ai/ Will Analog Chip Technology Become Relevant for AI? 2018-05-22T16:48:55.v-06:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/oil-rich-gulf-states-look-to-robotics-and-ai-for-next-phase-of-growth/ Oil-Rich Gulf States Look to Robotics and AI for Next Phase of Growth 2018-05-15T13:51:31.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/the-case-for-location-based-virtual-reality/ The Case for Location-Based Virtual Reality 2018-05-14T08:49:29.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/why-telecom-needs-ai-not-just-automation/ Why Telecom Needs AI, Not Just Automation 2018-05-10T12:43:47.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/telecommunications-industry-investment-in-artificial-intelligence-software-hardware-and-services-will-reach-36-7-billion-annually-by-2025/ Telecommunications Industry Investment in Artificial Intelligence Software, Hardware, and 米兜彩票网 Will Reach $36.7 Billion Annually by 2025 2018-04-30T08:25:00.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./robotics/amazons-household-robot-will-succeed-where-traditional-consumer-robots-have-failed/ Amazon’s Household Robot Will Succeed where Traditional Consumer Robots Have Failed 2018-04-27T17:58:49.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/ai-hitting-headwinds-in-2018/ AI Hitting Headwinds in 2018 2018-03-30T21:01:35.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/using-ai-for-more-accurate-weather-forecasting/ Using AI for More Accurate Weather Forecasting 2018-03-23T09:00:16.v-06:00 Keith Kirkpatrick http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/attractions-propelling-location-based-virtual-reality-entertainment/ Attractions Propelling Location-Based Virtual Reality Entertainment 2018-03-20T16:39:38.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/artificial-intelligence-driven-hardware-sales-will-reach-115-billion-worldwide-by-2025/ Artificial Intelligence-Driven Hardware Sales Will Reach $115 Billion Worldwide by 2025 2018-03-20T00:05:10.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./robotics/robotics-adoption-linked-to-slower-rate-of-offshoring/ Robotics Adoption Linked to Slower Rate of Offshoring 2018-03-19T17:24:16.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/artificial-intelligence-implementations-will-require-a-significant-level-of-professional-services-support-to-reach-enterprise-scale/ Artificial Intelligence Implementations Will Require a Significant Level of Professional 米兜彩票网 Support to Reach Enterprise Scale 2018-03-19T00:05:19.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/ai-fizzles-at-mobile-world-congress/ AI Fizzles at Mobile World Congress 2018-03-07T15:23:47.v-07:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/emotion-recognition-and-sentiment-analysis-market-to-reach-3-8-billion-by-2025/ Emotion Recognition and Sentiment Analysis Market to Reach $3.8 Billion by 2025 2018-03-07T09:09:13.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/computer-vision-hardware-software-and-services-market-to-reach-26-2-billion-by-2025/ Computer Vision Hardware, Software, and 米兜彩票网 Market to Reach $26.2 Billion by 2025 2018-03-06T10:06:25.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./wearable-devices/bragi-launches-embedded-ai-platform-targeting-broader-ai-ambitions/ Bragi Launches Embedded AI Platform Targeting Broader AI Ambitions 2018-03-03T23:04:37.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/understanding-emotion-market-barriers-for-emotion-analysis/ Understanding Emotion: Market Barriers for Emotion Analysis 2018-02-28T14:48:01.v-07:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/implications-of-adversarial-attacks-on-ai-vision-systems/ Implications of Adversarial Attacks on AI Vision Systems 2018-02-16T22:35:39.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/a-new-artificial-intelligence-frontier-understanding-emotion/ A New Artificial Intelligence Frontier: Understanding Emotion 2018-02-08T13:37:07.v-07:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/ces-2018-wearables-and-health-technology-roundup/ CES 2018: Wearables and Health Technology Roundup 2018-01-29T10:49:09.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./robotics/ces-2018-robotics-roundup/ CES 2018: Robotics Roundup 2018-01-29T10:33:31.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/ces-2018-artificial-intelligence-roundup/ CES 2018: Artificial Intelligence Roundup 2018-01-29T09:55:51.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/autonomous-trucks-and-buses-to-reach-188000-vehicle-sales-annually-by-2022/ Autonomous Trucks and Buses to Reach 188,000 Vehicle Sales Annually by 2022 2018-01-29T00:05:02.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/facebooks-strategy-for-enterprise-a-state-of-the-union-on-chatbots/ Facebook’s Strategy for Enterprise: A State of the Union on Chatbots 2018-01-26T11:26:37.v-07:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/enterprise-artificial-intelligence-deployments-are-beginning-to-reach-commercial-scale/ Enterprise Artificial Intelligence Deployments Are Beginning to Reach Commercial Scale 2018-01-19T00:05:03.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/more-and-more-places-and-things-are-now-starting-to-recognize-you/ More and More Places and Things Are Now Starting to Recognize You 2018-01-16T16:15:21.v-07:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/alexa-for-business-difficult-journey/ Alexa for Business: Difficult Journey? 2018-01-03T18:53:13.v-07:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/enterprise-virtual-digital-assistant-users-to-surpass-1-billion-by-2025/ Enterprise Virtual Digital Assistant Users to Surpass 1 Billion by 2025 2018-01-02T00:05:38.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/chatbot-challenge-do-you-know-what-i-mean/ Chatbot Challenge: Do You Know What I Mean? 2017-12-27T16:00:23.v-07:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/reinforcement-learning-and-its-implications-for-enterprise-artificial-intelligence/ Reinforcement Learning and Its Implications for Enterprise Artificial Intelligence 2017-12-21T16:08:02.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/artificial-intelligence-software-market-to-reach-89-8-billion-in-annual-worldwide-revenue-by-2025/ Artificial Intelligence Software Market to Reach $89.8 Billion in Annual Worldwide Revenue by 2025 2017-12-21T09:25:34.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/are-oems-being-squeezed-out-of-the-ai-cloud-infrastructure-market/ Are OEMs Being Squeezed Out of the AI Cloud Infrastructure Market? 2017-12-19T22:02:59.v-07:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/customers-demand-what-chatbots-can-deliver-in-customer-service/ Customers Demand What Chatbots Can Deliver in Customer Service 2017-12-02T10:45:20.v-07:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/smart-headphone-sales-to-reach-13-7-million-units-annually-by-2022/ Smart Headphone Sales to Reach 13.7 Million Units Annually by 2022 2017-11-30T00:05:16.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./digital-health/high-performance-computing-and-artificial-intelligence-drive-clinical-applications-of-precision-medicine-at-scale/ High-Performance Computing and Artificial Intelligence Drive Clinical Applications of Precision Medicine at Scale 2017-11-27T21:38:08.v-07:00 Andrew Broderick http://tractica./feed/ 米兜彩票官网Blog http://tractica./digital-health/technology-convergence-and-big-data-drive-precision-medicine-strategies/ Technology Convergence and Big Data Drive Precision Medicine Strategies 2017-11-27T21:28:39.v-07:00 Andrew Broderick http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/can-china-tip-the-virtual-reality-market-for-vive-and-virtual-reality-in-general/ Can China米兜彩票网 Tip the Virtual Reality Market for VIVE and Virtual Reality in General? 2017-11-27T07:52:41.v-07:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./digital-health/telehealth-interoperability-and-cybersecurity-are-key-to-future-growth/ Telehealth: Interoperability and Cybersecurity are Key to Future Growth 2017-11-21T18:59:58.v-07:00 Andrew Broderick http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/automotive-company-ai-%E2%89%A0-automotive-ai-company/ Automotive 米兜彩票app + AI ?Automotive AI 米兜彩票app 2017-11-19T11:30:04.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/facebook-messenger-is-the-next-hot-spot-for-chatbots/ Facebook Messenger Is the Next Hot Spot for Chatbots 2017-11-15T12:48:02.v-07:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/connected-wearable-patch-shipments-to-reach-35-1-million-units-annually-by-2022/ Connected Wearable Patch Shipments to Reach 35.1 Million Units Annually by 2022 2017-11-15T00:05:33.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/enterprise-robot-shipments-will-reach-1-2-million-units-annually-by-2022/ Enterprise Robot Shipments Will Reach 1.2 Million Units Annually by 2022 2017-11-14T00:05:18.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./robotics/modularity-in-robotics/ Modularity in Robotics 2017-11-06T12:59:32.v-07:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/the-role-of-smart-headphones-is-yet-to-be-determined/ The Role of Smart Headphones Is Yet to Be Determined 2017-10-30T15:12:11.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/arkit-and-arcore-will-not-jumpstart-augmented-reality/ ARKit and ARCore Will Not Jumpstart Augmented Reality 2017-10-09T23:10:06.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/flexible-display-shipments-will-increase-to-643-million-units-annually-by-2022/ Flexible Display Shipments Will Increase to 643 Million Units Annually by 2022 2017-10-04T00:05:01.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/healthcare-artificial-intelligence-software-hardware-and-services-market-to-reach-19-3-billion-worldwide-by-2025/ Healthcare Artificial Intelligence Software, Hardware, and 米兜彩票网 Market to Reach $19.3 Billion Worldwide by 2025 2017-09-25T00:05:39.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./user-interface-technologies/augmented-reality-the-rise-of-enterprise-use-cases/ Augmented Reality: The Rise of Enterprise Use Cases 2017-09-21T09:45:06.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/user-interface-technologies-are-becoming-increasingly-multimodal-intelligent-and-versatile/ User Interface Technologies Are Becoming Increasingly Multimodal, Intelligent, and Versatile 2017-09-20T22:35:01.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/artificial-intelligence-use-cases-are-numerous-and-diverse-yet-several-common-themes-underlie-commercial-implementations/ Artificial Intelligence Use Cases Are Numerous and Diverse, Yet Several Common Themes Underlie Commercial Implementations 2017-09-19T00:05:46.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/automatic-machine-learning-artificial-intelligence-systems-choosing-the-best-artificial-intelligence/ Automatic Machine Learning: Artificial Intelligence Systems Choosing the Best Artificial Intelligence 2017-09-18T22:00:39.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./digital-health/population-health-management-a-blend-of-old-and-new-data-enabled-solutions/ Population Health Management: A Blend of Old and New Data-Enabled Solutions 2017-09-18T10:30:41.v-06:00 Andrew Broderick http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/artificial-intelligence-impacts-every-business-function/ Artificial Intelligence Impacts Every Business Function 2017-09-13T08:10:22.v-06:00 Jessica Groopman http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/three-myths-about-blockchain/ Three Myths about Blockchain 2017-09-12T10:15:13.v-06:00 Jessica Groopman http://tractica./feed/ 米兜彩票官网Blog http://tractica./digital-health/3d-printing-setting-new-standards-for-medical-device-manufacturing/ 3D Printing: Setting New Standards for Medical Device Manufacturing 2017-09-12T09:25:33.v-06:00 Andrew Broderick http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/enterprise-versus-consumer-artificial-intelligence-differences-in-market-dynamics/ Enterprise versus Consumer Artificial Intelligence: Differences in Market Dynamics 2017-09-11T08:35:54.v-06:00 Jessica Groopman http://tractica./feed/ 米兜彩票官网Blog http://tractica./digital-health/advances-in-computer-aided-detection-in-mammography-screening/ Advances in Computer-Aided Detection in Mammography Screening 2017-09-10T18:19:37.v-06:00 Andrew Broderick http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/six-applications-for-blockchain-in-automotive/ Six Applications for Blockchain in Automotive 2017-09-10T18:07:28.v-06:00 Jessica Groopman http://tractica./feed/ 米兜彩票官网Blog http://tractica./digital-health/population-health-management-challenges-present-opportunities/ Population Health Management: Challenges Present Opportunities 2017-09-08T10:30:31.v-06:00 Andrew Broderick http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/consumer-applications-are-the-largest-market-segment-for-artificial-intelligence/ Consumer Applications Are the Largest Market Segment for Artificial Intelligence 2017-09-05T00:05:06.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/artificial-intelligence-implementations-have-expanded-to-encompass-215-discrete-use-cases-across-virtually-all-industries/ Artificial Intelligence Implementations Have Expanded to Encompass 215 Discrete Use Cases Across Virtually All Industries 2017-08-28T00:05:41.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./digital-health/the-business-case-for-population-health-management-software-and-services/ The Business Case for Population Health Management Software and 米兜彩票网 2017-08-24T10:22:11.v-06:00 Andrew Broderick http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/smart-clothing-and-body-sensor-shipments-to-reach-119-million-units-annually-by-2022/ Smart Clothing and Body Sensor Shipments to Reach 119 Million Units Annually by 2022 2017-08-24T00:05:53.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/population-health-management-software-and-services-market-to-reach-28-2-billion-by-2021/ Population Health Management Software and 米兜彩票网 Market to Reach $28.2 Billion by 2021 2017-08-23T00:05:26.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/more-than-23000-customer-service-robots-will-be-deployed-worldwide-by-2022/ More than 23,000 Customer Service Robots Will Be Deployed Worldwide by 2022 2017-08-22T00:05:54.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/natural-language-processing-market-to-reach-22-3-billion-by-2025/ Natural Language Processing Market to Reach $22.3 Billion by 2025 2017-08-21T00:05:34.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/wearable-device-shipments-to-reach-430-million-units-annually-by-2022/ Wearable Device Shipments to Reach 430 Million Units Annually by 2022 2017-08-16T00:05:52.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/chinas-ascent-as-an-artificial-intelligence-powerhouse/ China米兜彩票网’s Ascent as an Artificial Intelligence Powerhouse 2017-08-15T15:15:37.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/lte-enabled-apple-watch-could-shift-the-trajectory-for-smart-watches/ LTE-Enabled Apple Watch Could Shift the Trajectory for Smart Watches 2017-08-14T16:18:45.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/new-frontiers-in-natural-language-processing-sentiment-analysis-is-the-key-to-new-insights/ New Frontiers in Natural Language Processing: Sentiment Analysis Is the Key to New Insights 2017-08-04T10:38:42.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/robotic-process-automation-market-to-reach-5-1-billion-by-2025/ Robotic Process Automation Market to Reach $5.1 Billion by 2025 2017-07-24T00:05:32.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/200-artificial-intelligence-use-cases-29-industries-12-themes/ 200 Artificial Intelligence Use Cases, 29 Industries, 12 Themes 2017-07-20T00:48:42.v-06:00 Jessica Groopman http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/the-robotics-industry-will-reach-237-billion-in-revenue-worldwide-by-2022/ The Robotics Industry Will Reach $237 Billion in Revenue Worldwide by 2022 2017-07-05T00:05:46.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./robotics/consumer-robotics-market-heating-up-with-softbank-kuka-and-misty-robotics/ Consumer Robotics Market Heating Up with SoftBank, KUKA, and Misty Robotics 2017-07-03T14:18:16.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/commercial-drone-hardware-and-services-revenue-to-reach-12-6-billion-by-2025/ Commercial Drone Hardware and 米兜彩票网 Revenue to Reach $12.6 Billion by 2025 2017-06-28T00:05:40.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/artificial-intelligence-processing-moving-from-cloud-to-edge/ Artificial Intelligence Processing Moving from Cloud to Edge 2017-06-08T20:08:42.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/deep-learning-has-been-commercialized-into-more-than-100-use-cases/ Deep Learning Has Been Commercialized into More than 100 Use Cases 2017-05-30T00:05:58.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/augmented-reality-is-gaining-traction-in-the-enterprise-market/ Augmented Reality Is Gaining Traction in the Enterprise Market 2017-05-25T00:05:34.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/automotive-artificial-intelligence-revenue-to-reach-14-billion-by-2025/ Automotive Artificial Intelligence Revenue to Reach $14 Billion by 2025 2017-05-24T00:05:46.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/consumer-robot-sales-to-surpass-50-million-units-annually-by-2022/ Consumer Robot Sales to Surpass 50 Million Units Annually by 2022 2017-05-23T10:18:09.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/customer-care-and-the-growing-role-for-chatbots/ Customer Care and the Growing Role for Chatbots 2017-05-18T10:54:35.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/enterprises-still-making-sense-of-artificial-intelligence-as-they-deal-with-digital-transformation/ Enterprises Still Making Sense of Artificial Intelligence as They Deal with Digital Transformation 2017-05-17T10:59:23.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/artificial-intelligence-software-revenue-to-reach-59-8-billion-worldwide-by-2025/ Artificial Intelligence Software Revenue to Reach $59.8 Billion Worldwide by 2025 2017-05-02T10:21:28.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./robotics/new-gripper-solutions-for-robotic-picking-applications/ New Gripper Solutions for Robotic Picking Applications 2017-04-30T16:11:12.v-06:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/artificial-intelligence-and-computer-vision-enable-the-next-generation-of-visual-intelligence-tools/ Artificial Intelligence and Computer Vision Enable the Next Generation of Visual Intelligence Tools 2017-04-28T12:13:37.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/mobile-augmented-reality-market-to-reach-1-9-billion-unique-monthly-active-users-by-2022-according-to-tractica/ Mobile Augmented Reality Market to Reach 1.9 Billion Unique Monthly Active Users by 2022, According to Tractica 2017-04-21T00:05:43.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/canadian-startup-algolux-is-optimizing-computer-vision-systems-through-machine-learning/ Canadian Startup Algolux Is Optimizing Computer Vision Systems through Machine Learning 2017-04-20T17:07:18.v-06:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/facebook-says-its-future-is-augmented-reality-lets-focus-on-the-use-cases/ Facebook Says its Future Is Augmented Reality; Let’s Focus on the Use Cases 2017-04-20T16:19:19.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/is-visual-search-the-killer-augmented-reality-app/ Is Visual Search the Killer Augmented Reality App? 2017-04-19T14:57:47.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./robotics/cloud-robotics-startup-brings-fresh-new-approach-including-blockchain-and-5g/ Cloud Robotics Startup Brings Fresh New Approach Including Blockchain and 5G 2017-04-12T13:22:42.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./robotics/mobile-robotic-platforms-are-gaining-ground-in-warehousing-applications/ Mobile Robotic Platforms Are Gaining Ground in Warehousing Applications 2017-04-10T16:54:31.v-06:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/apples-smart-glasses-conundrum-mixed-reality-versus-assisted-reality/ Apple’s Smart Glasses Conundrum: Mixed Reality versus Assisted Reality? 2017-04-03T10:15:20.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/four-examples-of-blockchain-artificial-intelligence-deployments/ Four Examples of Blockchain-Artificial Intelligence Deployments 2017-03-27T20:02:29.v-06:00 Jessica Groopman http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/how-and-why-enterprises-should-connect-blockchain-and-artificial-intelligence/ How and Why Enterprises Should Connect Blockchain and Artificial Intelligence 2017-03-27T09:58:55.v-06:00 Jessica Groopman http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/the-artificial-intelligence-revolution-is-ready-to-strike-the-semiconductor-industry/ The Artificial Intelligence Revolution Is Ready to Strike the Semiconductor Industry 2017-03-13T22:46:39.v-06:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/deep-learning-chipset-shipments-to-reach-41-2-million-units-annually-by-2025/ Deep Learning Chipset Shipments to Reach 41.2 Million Units Annually by 2025 2017-03-13T00:05:25.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/dubai-emerges-as-a-formative-actor-in-blockchain-development-for-enterprise-applications/ Dubai Emerges as a Formative Actor in Blockchain Development for Enterprise Applications 2017-03-10T16:44:21.v-07:00 Jessica Groopman http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/iris-recognition-biometrics-market-to-increase-to-4-1-billion-worldwide-by-2025/ Iris Recognition Biometrics Market to Increase to $4.1 Billion Worldwide by 2025 2017-03-10T00:05:09.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/smart-augmented-reality-glasses-shipments-to-reach-22-8-million-units-annually-by-2022/ Smart Augmented Reality Glasses Shipments to Reach 22.8 Million Units Annually by 2022 2017-03-03T00:05:26.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/warehousing-and-logistics-robot-shipments-will-reach-620000-units-annually-by-2021/ Warehousing and Logistics Robot Shipments Will Reach 620,000 Units Annually by 2021 2017-03-02T00:05:30.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./user-interface-technologies/the-state-of-virtual-reality-adoption/ The State of Virtual Reality Adoption 2017-02-28T16:25:52.v-07:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/the-enterprise-and-industrial-virtual-reality-market-will-grow-to-9-2-billion-by-2021/ The Enterprise and Industrial Virtual Reality Market Will Grow to $9.2 Billion by 2021 2017-02-27T00:05:50.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./user-interface-technologies/enterprise-is-quietly-becoming-virtual-realitys-ace-in-the-hole/ Enterprise Is Quietly Becoming Virtual Reality’s Ace in the Hole 2017-02-15T02:24:05.v-07:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/global-biometrics-market-revenue-to-reach-15-1-billion-by-2025/ Global Biometrics Market Revenue to Reach $15.1 Billion by 2025 2017-02-06T00:05:39.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/deep-learning-chipset-companies-coming-out-of-stealth-mode/ Deep Learning Chipset Companies Coming out of Stealth Mode 2017-02-01T14:47:00.v-07:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/ces-2017-artificial-intelligences-ubiquity-and-invisibility/ CES 2017: Artificial Intelligence’s Ubiquity and Invisibility 2017-02-01T13:00:03.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/blockchain-technologies-are-enhancing-iot-security/ Blockchain Technologies Are Enhancing IoT Security 2017-01-24T10:34:08.v-07:00 Jessica Groopman http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/cracking-open-the-black-box-of-neural-networks/ Cracking Open the Black Box of Neural Networks 2017-01-19T12:57:49.v-07:00 Jessica Groopman http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/maluuba-is-microsofts-deepmind-with-a-commercial-tilt/ Maluuba Is Microsoft’s DeepMind with a Commercial Tilt 2017-01-17T13:53:46.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/machine-learning-is-invading-a-cloud-near-you/ Machine Learning Is Invading a Cloud Near You 2017-01-13T18:21:20.v-07:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/ces-2017-the-wearables-market-is-entering-a-mature-phase/ CES 2017: The Wearables Market Is Entering a Mature Phase 2017-01-11T15:57:55.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./robotics/ces-2017-family-robots-toy-robots-service-robots-and-autonomous-cars/ CES 2017: Family Robots, Toy Robots, Service Robots, and Autonomous Cars 2017-01-11T15:25:28.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/will-microsofts-hololens-end-up-like-the-failed-google-glass/ Will Microsoft’s HoloLens End Up Like the Failed Google Glass? 2017-01-11T13:03:09.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/the-intersection-of-the-internet-of-things-and-blockchain/ The Intersection of the Internet of Things and Blockchain 2017-01-09T07:21:15.v-07:00 Jessica Groopman http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/mobile-virtual-reality-headsets-will-represent-more-than-75-of-total-vr-head-mounted-display-shipments-through-2021/ Mobile Virtual Reality Headsets Will Represent More than 75% of Total VR Head-Mounted Display Shipments through 2021 2016-12-29T00:05:57.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/asics-for-deep-learning-are-not-exactly-asics/ ASICs for Deep Learning Are Not Exactly ASICs 2016-12-22T17:02:41.v-07:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/agricultural-robot-revenue-to-reach-74-1-billion-worldwide-by-2024/ Agricultural Robot Revenue to Reach $74.1 Billion Worldwide by 2024 2016-12-22T00:04:41.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/consumer-virtual-reality-head-mounted-display-shipments-to-reach-130-million-worldwide-by-2021/ Consumer Virtual Reality Head-Mounted Display Shipments to Reach 130 Million Worldwide by 2021 2016-12-15T09:47:17.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/blockchain-for-enterprise-applications-market-to-reach-19-9-billion-by-2025/ Blockchain for Enterprise Applications Market to Reach $19.9 Billion by 2025 2016-12-14T00:05:13.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/advanced-driver-assistance-system-component-shipments-to-reach-1-2-billion-units-annually-by-2025/ Advanced Driver Assistance System Component Shipments to Reach 1.2 Billion Units Annually by 2025 2016-12-12T00:05:23.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/image-pre-processing-deserves-more-consideration-in-computer-vision/ Image Pre-Processing Deserves More Consideration in Computer Vision 2016-12-07T17:35:39.v-07:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/the-viability-of-enterprise-blockchain-beyond-financial-services/ The Viability of Enterprise Blockchain beyond Financial 米兜彩票网 2016-12-07T17:05:34.v-07:00 Jessica Groopman http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/amazon-go-artificial-intelligence-and-humanoid-robots/ Amazon Go, Artificial Intelligence, and Humanoid Robots 2016-12-06T12:56:50.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/openai-strong-ai-training-environments-and-cloud-robotics/ OpenAI, Strong AI Training Environments, and Cloud Robotics 2016-12-06T11:39:10.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/what-to-expect-from-the-wearables-market-in-2017/ What to Expect from the Wearables Market in 2017 2016-12-04T22:15:11.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/healthcare-robot-shipments-to-surpass-10000-units-annually-by-2021/ Healthcare Robot Shipments to Surpass 10,000 Units Annually by 2021 2016-11-21T07:37:00.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/artificial-intelligence-implementations-will-grow-significantly-in-scale-and-capabilities-during-2017/ Artificial Intelligence Implementations Will Grow Significantly in Scale and Capabilities During 2017 2016-11-17T01:18:22.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/how-will-artificial-intelligence-impact-jobs/ How Will Artificial Intelligence Impact Jobs? 2016-11-15T12:07:24.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/deep-learning-hardware-heats-up-with-graphcore-securing-series-a-funding/ Deep Learning Hardware Heats Up with Graphcore Securing Series A Funding 2016-10-31T06:00:22.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/google-acquires-eyefluence-to-expand-focus-on-multimodal-interaction/ Google Acquires Eyefluence to Expand Focus on Multimodal Interaction 2016-10-25T17:25:55.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./robotics/new-dot-self-driving-car-guidelines-fall-short-of-an-effective-solution/ New DOT Self-Driving Car Guidelines Fall Short of an Effective Solution 2016-10-25T16:31:52.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/deep-learning-drives-general-artificial-intelligence/ Deep Learning Drives General Artificial Intelligence 2016-10-24T14:53:42.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/white-house-report-assesses-the-state-of-ai/ White House Report Assesses the State of AI 2016-10-24T12:54:06.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./robotics/sensabot-is-the-first-inspection-robot-approved-for-use-by-oil-and-gas-companies/ Sensabot Is the First Inspection Robot Approved for Use by Oil and Gas Companies 2016-10-18T03:01:38.v-06:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/nauto-backs-into-the-driverless-car/ Nauto Backs into the Driverless Car 2016-10-13T17:29:27.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/spanish-startup-uses-deep-learning-to-match-developers-to-jobs/ Spanish Startup Uses Deep Learning to Match Developers to Jobs 2016-10-12T01:29:48.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./robotics/abb-and-huawei-are-joining-forces-for-the-industrial-internet-of-things/ ABB and Huawei Are Joining Forces for the Industrial Internet of Things 2016-09-29T15:40:52.v-06:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/salesforce-einstein-utilizes-ai-for-personalization-efficiency-and-scalability/ Salesforce Einstein Utilizes AI for Personalization, Efficiency, and Scalability 2016-09-26T17:57:34.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/snapchat-spectacles-wearable-camera-or-smart-glasses/ Snapchat Spectacles: Wearable Camera or Smart Glasses? 2016-09-26T08:49:59.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/google-acquires-api-ai-to-embed-assistant/ Google Acquires API.ai to Embed Assistant 2016-09-23T14:01:50.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./robotics/robot-assisted-surgery-gaining-both-momentum-and-scrutiny/ Robot Assisted Surgery Gaining Both Momentum and Scrutiny 2016-09-23T11:48:51.v-06:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/video-analytics-hardware-software-and-services-revenue-to-reach-3-billion-by-2022/ Video Analytics Hardware, Software, and 米兜彩票网 Revenue to Reach $3 Billion by 2022 2016-09-20T00:05:51.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./wearable-devices/airpods-provide-a-glimpse-into-apples-wearable-vision/ AirPods Provide a Glimpse into Apple’s Wearable Vision 2016-09-16T13:25:21.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/using-deep-learning-to-sweep-for-underwater-mines/ Using Deep Learning to Sweep for Underwater Mines 2016-09-16T10:44:12.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./robotics/robotics-technology-breakthroughs-part-2/ Robotics Technology Breakthroughs ?Part 2 2016-09-15T23:50:02.v-06:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/tractica-launches-artificial-intelligence-advisory-service/ Tractica Launches Artificial Intelligence Advisory Service 2016-09-15T00:05:25.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./artificial-intelligence/nvidias-latest-offerings-bolster-its-position-in-deep-learning-inference/ NVIDIA’s Latest Offerings Bolster Its Position in Deep Learning Inference 2016-09-14T15:40:07.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/intel-acquires-movidius-to-expand-reach-in-key-growth-markets/ Intel Acquires Movidius to Expand Reach in Key Growth Markets 2016-09-14T14:27:53.v-06:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./robotics/china-ramps-up-investments-in-foreign-robotics-companies/ China米兜彩票网 Ramps Up Investments in Foreign Robotics Companies 2016-09-11T21:40:22.v-06:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/what-does-pokemon-go-mean-for-ar-smart-glasses/ What Does Pokémon Go Mean for AR Smart Glasses? 2016-09-06T18:46:18.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/early-enterprise-adopters-of-artificial-intelligence-will-include-the-business-services-advertising-media-entertainment-and-finance-investment-sectors/ Early Enterprise Adopters of Artificial Intelligence Will Include the Business 米兜彩票网, Advertising, Media & Entertainment, and Finance & Investment Sectors 2016-09-06T00:57:45.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./robotics/are-driverless-tractors-on-the-right-track/ Are Driverless Tractors on the Right Track? 2016-09-04T18:53:43.v-06:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/wrist-worn-versus-head-mounted-computing-devices/ Wrist-Worn versus Head-Mounted Computing Devices 2016-09-04T10:43:42.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/the-deep-learning-hardware-battle/ The Deep Learning Hardware Battle 2016-09-02T23:07:13.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./robotics/competition-intensifies-among-chinese-consumer-drone-makers/ Competition Intensifies Among Chinese Consumer Drone Makers 2016-09-01T00:06:05.v-06:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/the-global-robotics-industry-is-at-a-critical-turning-point-as-non-industrial-robots-overtake-industrial-robots-in-market-size-for-the-first-time-in-2016/ The Global Robotics Industry is at a Critical Turning Point as Non-Industrial Robots Overtake Industrial Robots in Market Size for the First Time in 2016 2016-08-30T00:05:11.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/wearable-camera-shipments-will-grow-to-24-million-units-annually-by-2021/ Wearable Camera Shipments Will Grow to 24 Million Units Annually by 2021 2016-08-29T00:05:07.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./blog/japanese-tech-startups-to-watch/ Japanese Tech Startups to Watch 2016-08-26T13:21:31.v-06:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/ai-software-reduces-the-risk-of-drone-collisions/ AI Software Reduces the Risk of Drone Collisions 2016-08-26T12:24:42.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/artificial-intelligence-revenue-to-reach-36-8-billion-worldwide-by-2025/ Artificial Intelligence Revenue to Reach $36.8 Billion Worldwide by 2025 2016-08-25T11:18:36.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./robotics/consumer-attitudes-about-household-robots/ Consumer Attitudes About Household Robots 2016-08-24T16:26:54.v-06:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./artificial-intelligence/using-deep-learning-to-track-poverty-with-satellites/ Using Deep Learning to Track Poverty with Satellites 2016-08-22T12:16:28.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/robotics-technology-breakthroughs-part-1/ Robotics Technology Breakthroughs ?Part 1 2016-08-17T16:52:36.v-06:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/virtual-digital-assistant-launches-will-dribble-out-by-country/ Virtual Digital Assistant Launches Will Dribble Out by Country 2016-08-17T16:08:41.v-06:00 Mark Beccue http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/drone-delivery-pilot-projects-show-strong-potential/ Drone Delivery Pilot Projects Show Strong Potential 2016-08-17T15:22:49.v-06:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/buildingiq-employs-ai-for-maximum-building-system-efficiency/ BuildingIQ Employs AI for Maximum Building System Efficiency 2016-08-17T14:27:35.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/nvidias-ai-inception-program/ NVIDIA’s AI Inception Program 2016-08-12T16:00:30.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/apples-turi-acquisition-does-little-to-narrow-the-gap-on-ai/ Apple’s Turi Acquisition Does Little to Narrow the Gap on AI 2016-08-11T15:48:19.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/the-virtual-digital-assistant-market-will-reach-15-8-billion-worldwide-by-2021/ The Virtual Digital Assistant Market Will Reach $15.8 Billion Worldwide by 2021 2016-08-03T00:46:17.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./automation-robotics/ibm-watson-iot-and-its-integration-with-blockchain/ IBM Watson IoT and Its Integration with Blockchain 2016-08-01T14:04:51.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/self-piloting-drones-are-gathering-on-the-horizon/ Self-Piloting Drones Are Gathering on the Horizon 2016-07-29T16:00:19.v-06:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/euclidean-technologies-turns-from-machine-learning-to-deep-learning-to-objectively-analyze-investments/ Euclidean Technologies Turns from Machine Learning to Deep Learning to Objectively Analyze Investments 2016-07-27T13:18:40.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/neural-networks-are-coming-soon-to-your-mobile-phone-camera/ Neural Networks Are Coming Soon to Your Mobile 米兜彩票官网Phone Camera 2016-07-19T15:32:24.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/using-ai-to-determine-the-best-use-of-real-estate/ Using AI to Determine the Best Use of Real Estate 2016-07-08T16:16:46.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/machine-learning-and-nlp-are-emerging-as-key-tools-for-diagnosing-alzheimers-disease/ Machine Learning and NLP Are Emerging as Key Tools for Diagnosing Alzheimer’s Disease 2016-07-08T09:41:26.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/consumer-drone-sales-to-increase-tenfold-to-67-7-million-units-annually-by-2021/ Consumer Drone Sales to Increase Tenfold to 67.7 Million Units Annually by 2021 2016-07-06T00:05:31.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/head-up-display-shipments-will-total-182-million-units-by-2025/ Head-Up Display Shipments Will Total 182 Million Units by 2025 2016-06-22T00:05:34.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./wearable-devices/privacy-implications-of-wearables-in-the-insurance-industry/ Privacy Implications of Wearables in the Insurance Industry 2016-06-20T14:59:21.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/computer-vision-hardware-and-software-market-to-reach-48-6-billion-by-2022/ Computer Vision Hardware and Software Market to Reach $48.6 Billion by 2022 2016-06-20T00:05:43.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./automation-robotics/blockchain-daos-and-the-future-of-government/ Blockchain, DAOs, and the Future of Government 2016-06-08T10:25:56.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/edge-intelligence-in-the-computer-vision-market/ Edge Intelligence in the Computer Vision Market 2016-06-07T15:33:18.v-06:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/inherent-risks-of-agriculture-drive-ai-adoption/ Inherent Risks of Agriculture Drive AI Adoption 2016-06-06T17:26:13.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/head-up-displays-on-the-cheap/ Head-up Displays on the Cheap 2016-05-31T11:25:42.v-06:00 Keith Kirkpatrick http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/natural-language-generation-technology-is-having-an-increasing-impact-on-journalism/ Natural Language Generation Technology is Having an Increasing Impact on Journalism 2016-05-27T14:25:40.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/robots-chatbots-and-conversational-ai/ Robots, Chatbots, and Conversational AI 2016-05-27T11:04:28.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/cadence-launches-the-tensilica-dsp-for-machine-learning-applications/ Cadence Launches the Tensilica DSP for Machine Learning Applications 2016-05-25T09:08:29.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/sensors-will-drive-ai-growth-in-manufacturing/ Sensors Will Drive AI Growth in Manufacturing 2016-05-23T16:02:14.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/smart-clothing-and-consumer-fashion/ Smart Clothing and Consumer Fashion 2016-05-12T14:39:12.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/qualcomm-brings-machine-learning-sdk-to-snapdragon/ Qualcomm Brings Machine Learning SDK to Snapdragon 2016-05-05T10:23:27.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/deep-learning-enterprise-software-spending-to-surpass-40-billion-worldwide-by-2024/ Deep Learning Enterprise Software Spending to Surpass $40 Billion Worldwide by 2024 2016-05-03T00:05:31.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/commercial-drone-enabled-services-revenue-will-reach-8-7-billion-annually-by-2025/ Commercial Drone-Enabled 米兜彩票网 Revenue Will Reach $8.7 Billion Annually by 2025 2016-05-02T00:05:44.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/smart-clothing-and-body-sensor-shipments-to-total-190-million-through-2021/ Smart Clothing and Body Sensor Shipments to Total 190 Million through 2021 2016-04-28T09:45:02.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./wearable-devices/nokias-acquisition-of-withings-is-a-mistake/ Nokia’s Acquisition of Withings is a Mistake 2016-04-26T13:39:49.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/more-than-66-million-wearable-devices-will-be-shipped-annually-for-use-in-enterprise-and-industrial-environments-by-2021/ More than 66 Million Wearable Devices Will Be Shipped Annually for Use in Enterprise and Industrial Environments by 2021 2016-04-25T00:05:09.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./automation-robotics/nvidia-releases-the-fastest-deep-learning-system-yet/ NVIDIA Releases the Fastest Deep Learning System Yet 2016-04-21T16:26:10.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/wearables-in-omnichannel-retail/ Wearables in Omnichannel Retail 2016-04-20T15:17:12.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/healthcare-wearable-device-shipments-to-reach-98-million-units-annually-by-2021/ Healthcare Wearable Device Shipments to Reach 98 Million Units Annually by 2021 2016-04-14T08:55:20.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/deep-learning-is-emerging-as-an-important-enabling-technology-for-computer-vision-applications/ Deep Learning is Emerging as an Important Enabling Technology for Computer Vision Applications 2016-04-11T00:05:51.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./automation-robotics/eyeris-brings-emotion-recognition-to-automobiles/ Eyeris Brings Emotion Recognition to Automobiles 2016-04-08T14:16:55.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/sports-will-never-be-the-same-again-thanks-to-wearables-and-robotics/ Sports Will Never Be the Same Again, Thanks to Wearables and Robotics 2016-04-08T13:07:58.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/enterprise-adoption-of-wearable-devices-is-expanding-into-larger-deployments/ Enterprise Adoption of Wearable Devices is Expanding into Larger Deployments 2016-04-07T00:05:07.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./automation-robotics/leveraging-deep-learning-to-improve-the-retail-experience/ Leveraging Deep Learning to Improve the Retail Experience 2016-04-04T12:01:29.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/could-an-ai-run-government-someday/ Could an AI Run Government Someday? 2016-03-30T14:38:52.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/fpgas-challenge-gpus-as-a-platform-for-deep-learning/ FPGAs Challenge GPUs as a Platform for Deep Learning 2016-03-30T13:53:53.v-06:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/emotion-recognition-technology-leverages-ai-to-enhance-human-communications/ Emotion Recognition Technology Leverages AI to Enhance Human Communications 2016-03-29T17:11:54.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/mind-reading-wearables-and-the-superfuture/ Mind Reading Wearables and the Superfuture 2016-03-29T16:43:44.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/alphago-and-its-implications-for-google-alphabet-and-ai/ AlphaGo and Its Implications for Google, Alphabet, and AI 2016-03-15T14:41:04.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/ibm-doubles-down-on-ai-driven-healthcare-with-truven-acquisition-while-alphabet-launches-deepmind-health/ IBM Doubles Down on AI-Driven Healthcare with Truven Acquisition, While Alphabet Launches DeepMind Health 2016-03-08T14:17:54.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/wearable-device-shipments-to-reach-560-million-units-annually-by-2021/ Wearable Device Shipments to Reach 560 Million Units Annually by 2021 2016-03-03T09:56:44.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./automation-robotics/geovisual-analytics-leverages-ai-for-agriculture-insights/ GeoVisual Analytics Leverages AI for Agriculture Insights 2016-02-23T13:34:54.v-07:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/natural-language-processing-software-hardware-and-services-market-to-reach-2-1-billion-by-2024/ Natural Language Processing Software, Hardware, and 米兜彩票网 Market to Reach $2.1 Billion by 2024 2016-02-22T00:05:13.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./wearable-devices/qualcomms-new-wearable-soc-could-trigger-growth-in-standalone-wearables/ Qualcomm’s New Wearable SoC Could Trigger Growth in Standalone Wearables 2016-02-16T13:40:17.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/digital-health-technologies-are-helping-transform-healthcare-delivery-and-patient-care/ Digital Health Technologies Are Helping Transform Healthcare Delivery and Patient Care 2016-02-16T00:05:47.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./automation-robotics/irobot-doubles-down-on-consumer-robots-by-selling-military-unit/ iRobot Doubles Down on Consumer Robots By Selling Military Unit 2016-02-11T12:05:28.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/microsofts-swiftkey-acquisition-bolsters-its-ai-talent-and-market-reach/ Microsoft’s SwiftKey Acquisition Bolsters its AI Talent and Market Reach 2016-02-08T11:55:52.v-07:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/another-ai-milestone-reached-deep-learning-masters-the-game-of-go/ Another AI Milestone Reached: Deep Learning Masters the Game of Go 2016-02-03T12:56:45.v-07:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/aig-invests-in-wearables-startup-focused-on-job-site-safety/ AIG Invests In Wearables Startup Focused on Job Site Safety 2016-02-02T13:27:43.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/driverless-tractors-and-drones-to-be-among-the-key-applications-for-agricultural-robots/ Driverless Tractors and Drones to be Among the Key Applications for Agricultural Robots 2016-01-20T00:05:13.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./automation-robotics/robotics-at-ces-2016-the-second-robotics-age-is-here/ Robotics at CES 2016: The Second Robotics Age is Here 2016-01-19T16:48:02.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/more-than-200-million-virtual-reality-head-mounted-displays-to-be-sold-by-米兜彩票网/ More than 200 Million Virtual Reality Head-Mounted Displays to be Sold by 米兜彩票网 2016-01-18T00:05:41.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/3d-imaging-hardware-and-software-market-to-reach-24-9-billion-by-2024/ 3D Imaging Hardware and Software Market to Reach $24.9 Billion by 2024 2016-01-14T00:05:21.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./wearable-devices/wearables-at-ces-2016-more-activity-but-less-substance/ Wearables at CES 2016: More Activity but Less Substance 2016-01-13T15:33:01.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/review-of-commercially-launched-robots-in-2015/ Review of Commercially Launched Robots in 2015 2015-12-30T12:17:15.v-07:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/robots-at-irex-2015/ Robots at iREX 2015 2015-12-28T17:00:04.v-07:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/new-jobs-for-robots-in-personal-healthcare/ New Jobs for Robots in Personal Healthcare 2015-12-23T14:54:44.v-07:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/the-rise-of-driverless-trucks/ The Rise of Driverless Trucks 2015-12-16T13:34:31.v-07:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/wearables-what-to-expect-at-ces-2016/ Wearables: What to Expect at CES 2016 2015-12-14T11:12:45.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/collaborative-robots-in-industry-4-0/ Collaborative Robots in Industry 4.0 2015-12-04T09:52:53.v-07:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/population-health-management-market-to-double-in-size-to-31-9-billion-by-米兜彩票网/ Population Health Management Market to Double in Size to $31.9 Billion by 米兜彩票网 2015-12-03T00:05:03.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./automation-robotics/robots-and-affordable-housing/ Robots and Affordable Housing 2015-11-30T11:22:51.v-07:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/nearly-100-million-consumer-robots-will-be-sold-during-the-next-5-years/ Nearly 100 Million Consumer Robots Will be Sold During the Next 5 Years 2015-11-23T08:38:49.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/global-robotics-industry-to-surpass-151-billion-by-米兜彩票网/ Global Robotics Industry to Surpass $151 Billion by 米兜彩票网 2015-11-19T00:05:46.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./wearable-devices/fossils-misfit-acquisition-who-needs-who/ Fossil’s Misfit Acquisition ?Who Needs Who? 2015-11-15T21:26:22.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/a-new-kind-of-family-robot-is-launched-in-china/ A New Kind of Family Robot is Launched in China米兜彩票网 2015-11-04T19:51:25.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/deep-learning-software-market-to-surpass-10-billion-by-2024/ Deep Learning Software Market to Surpass $10 Billion by 2024 2015-11-03T00:05:21.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./automation-robotics/the-danger-of-anthropomorphizing-ai/ The Danger of Anthropomorphizing AI 2015-11-02T15:28:26.v-07:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/enterprise-wearables-market-to-reach-6-3-billion-by-米兜彩票网/ Enterprise Wearables Market to Reach $6.3 Billion by 米兜彩票网 2015-10-15T00:05:50.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/telepresence-robot-shipments-to-total-nearly-100000-units-by-米兜彩票网/ Telepresence Robot Shipments to Total Nearly 100,000 Units by 米兜彩票网 2015-10-12T00:05:46.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./wearable-devices/smart-watches-take-ifa-2015-by-storm/ Smart Watches Take IFA 2015 by Storm 2015-09-15T15:43:12.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/the-biometrics-technology-market-is-evolving-to-address-a-diverse-set-of-use-cases-and-industry-applications/ The Biometrics Technology Market is Evolving to Address a Diverse Set of Use Cases and Industry Applications 2015-09-10T00:05:39.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/virtual-reality-adoption-in-enterprise-and-industrial-markets-will-be-driven-by-training-simulation-virtual-prototyping-and-3d-modeling-applications/ Virtual Reality Adoption in Enterprise and Industrial Markets Will Be Driven by Training, Simulation, Virtual Prototyping, and 3D Modeling Applications 2015-09-09T00:05:38.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./wearable-devices/apple-watch-extends-its-smart-米兜彩票app-footprint-with-atts-digital-life-app/ Apple Watch Extends Its Smart 米兜彩票官网 Footprint with AT&T’s Digital Life App 2015-09-03T09:21:31.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/it-security-applications-will-drive-growth-in-enterprise-adoption-of-biometrics-technology-during-the-next-10-years/ IT Security Applications Will Drive Growth in Enterprise Adoption of Biometrics Technology During the Next 10 Years 2015-09-03T00:05:24.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./automation-robotics/driverless-shuttles-are-coming-soon-to-a-campus-near-you/ Driverless Shuttles Are Coming Soon to a Campus Near You 2015-08-31T10:25:20.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/global-biometrics-technology-market-to-reach-14-9-billion-in-annual-revenue-by-2024/ Global Biometrics Technology Market to Reach $14.9 Billion in Annual Revenue by 2024 2015-08-27T00:05:06.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/speech-recognition-to-achieve-82-percent-penetration-in-mobile-devices-by-米兜彩票网/ Speech Recognition to Achieve 82 Percent Penetration in Mobile Devices by 米兜彩票网 2015-08-26T00:05:45.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/biometrics-device-shipments-for-the-finance-industry-to-total-212-million-units-worldwide-by-2024/ Biometrics Device Shipments for the Finance Industry to Total 212 Million Units Worldwide by 2024 2015-08-25T00:05:33.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/computer-vision-technology-is-gaining-strong-traction-in-the-consumer-electronics-industrial-and-automotive-markets/ Computer Vision Technology is Gaining Strong Traction in the Consumer Electronics, Industrial, and Automotive Markets 2015-08-25T00:05:07.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./user-interface-technologies/intel-developer-forum-2015-iot-wearables-robotics-and-sensory-computing/ Intel Developer Forum 2015: IoT, Wearables, Robotics, and Sensory Computing 2015-08-24T10:59:05.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/wearable-technology-market-is-quickly-diversifying-into-new-device-categories-application-markets-and-services/ Wearable Technology Market is Quickly Diversifying into New Device Categories, Application Markets, and 米兜彩票网 2015-08-24T00:05:29.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/telehealth-and-米兜彩票app-health-technologies-are-becoming-increasingly-attractive-for-the-healthcare-industry/ Telehealth and 米兜彩票官网 Health Technologies are Becoming Increasingly Attractive for the Healthcare Industry 2015-08-20T00:05:45.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/artificial-intelligence-technologies-are-quietly-penetrating-a-wide-range-of-enterprise-applications/ Artificial Intelligence Technologies are Quietly Penetrating a Wide Range of Enterprise Applications 2015-08-19T00:05:33.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./wearable-devices/salesforce-showcases-enterprise-focused-apps-for-apple-watch/ Salesforce Showcases Enterprise-Focused Apps for Apple Watch 2015-08-18T08:08:41.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/apple-watch-is-on-track-to-capture-68-percent-of-smart-watch-market-share-by-the-end-of-2015/ Apple Watch is on Track to Capture 68 Percent of Smart Watch Market Share by the End of 2015 2015-08-18T00:05:23.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/the-healthcare-industry-will-represent-one-of-the-largest-market-opportunities-for-biometrics/ The Healthcare Industry Will Represent One of the Largest Market Opportunities for Biometrics 2015-08-17T00:05:38.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/enterprise-applications-for-wearable-technology-are-expanding-at-a-rapid-pace/ Enterprise Applications for Wearable Technology are Expanding at a Rapid Pace 2015-08-13T07:56:15.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./wearable-devices/adidas-acquires-runtastic-to-bolster-fitness-tracking-wearables-and-possibly-smart-clothing/ Adidas Acquires Runtastic to Bolster Fitness Tracking, Wearables, and Possibly Smart Clothing 2015-08-07T16:04:13.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/voice-based-wearables-in-the-enterprise/ Voice-Based Wearables in the Enterprise 2015-07-31T13:21:48.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/consumer-virtual-reality-hardware-and-content-revenue-to-reach-21-8-billion-by-米兜彩票网/ Consumer Virtual Reality Hardware and Content Revenue to Reach $21.8 Billion by 米兜彩票网 2015-07-28T00:05:04.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/wearable-payments-to-drive-more-than-500-billion-in-transaction-volume-annually-by-米兜彩票网/ Wearable Payments to Drive More than $500 Billion in Transaction Volume Annually by 米兜彩票网 2015-07-27T00:05:59.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/commercial-drone-shipments-to-surpass-2-6-million-units-annually-by-2025-according-to-tractica/ Commercial Drone Shipments to Surpass 2.6 Million Units Annually by 2025, According to Tractica 2015-07-21T00:05:00.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./biometrics/chipping-is-for-pets-not-people/ Chipping is for Pets, not People 2015-07-20T13:15:30.v-06:00 Bob Lockhart http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/agricultural-robot-shipments-to-reach-nearly-1-million-units-annually-by-2024/ Agricultural Robot Shipments to Reach Nearly 1 Million Units Annually by 2024 2015-07-14T00:05:32.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/iris-recognition-device-shipments-to-total-262-million-by-2024/ Iris Recognition Device Shipments to Total 262 Million by 2024 2015-07-13T00:05:10.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/virtual-digital-assistant-technology-is-expanding-beyond-smartphones-to-penetrate-additional-consumer-devices-and-enterprise-markets/ Virtual Digital Assistant Technology is Expanding Beyond Smartphones to Penetrate Additional Consumer Devices and Enterprise Markets 2015-07-10T07:56:13.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./user-interface-technologies/virtual-reality-input-devices-aim-for-immersion/ Virtual Reality Input Devices Aim for Immersion 2015-07-05T23:44:55.v-06:00 Craig Foster http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/facial-recognition-devices-and-licenses-will-reach-122-million-annually-by-2024/ Facial Recognition Devices and Licenses Will Reach 122 Million Annually by 2024 2015-06-26T00:05:33.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./biometrics/facial-recognition-what-is-private/ Facial Recognition: What is Private? 2015-06-25T01:25:58.v-06:00 Bob Lockhart http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/telehealth-video-consultation-sessions-to-reach-158-million-annually-by-米兜彩票网/ Telehealth Video Consultation Sessions to Reach 158 Million Annually by 米兜彩票网 2015-06-24T09:11:33.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./biometrics/in-biometrics-which-error-rate-matters/ In Biometrics, Which Error Rate Matters? 2015-06-23T13:51:33.v-06:00 Bob Lockhart http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/cumulative-wearable-device-shipments-to-surpass-750-million-units-by-米兜彩票网/ Cumulative Wearable Device Shipments to Surpass 750 Million Units by 米兜彩票网 2015-06-22T00:05:35.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/installed-base-of-mobile-augmented-reality-apps-to-reach-2-2-billion-by-2019/ Installed Base of Mobile Augmented Reality Apps to Reach 2.2 Billion by 2019 2015-06-18T00:05:56.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/fingerprint-readers-in-mobile-devices-to-surpass-1-billion-unit-shipments-annually-by-2021/ Fingerprint Readers in Mobile Devices to Surpass 1 Billion Unit Shipments Annually by 2021 2015-06-17T00:05:53.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./automation-robotics/computer-vision-will-drive-the-next-wave-of-robot-applications/ Computer Vision Will Drive the Next Wave of Robot Applications 2015-06-15T11:50:26.v-06:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/voice-and-speech-recognition-software-licenses-to-surpass-550-million-worldwide-by-2024/ Voice and Speech Recognition Software Licenses to Surpass 550 Million Worldwide by 2024 2015-06-11T00:05:53.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./user-interface-technologies/apples-acquisition-of-metaio-raises-the-stakes-for-augmented-reality/ Apple’s Acquisition of Metaio Raises the Stakes for Augmented Reality 2015-05-29T15:05:18.v-06:00 Craig Foster http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/smart-augmented-reality-glasses-shipments-to-surpass-12-million-units-between-2015-and-米兜彩票网/ Smart Augmented Reality Glasses Shipments to Surpass 12 Million Units between 2015 and 米兜彩票网 2015-05-28T09:39:06.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./automation-robotics/practical-business-applications-for-artificial-intelligence/ Practical Business Applications for Artificial Intelligence 2015-05-26T08:05:50.v-06:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/tractica-launches-digital-health-advisory-service/ Tractica Launches Digital Health Advisory Service 2015-05-21T00:05:06.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/connected-wearable-patch-shipments-will-reach-12-3-million-units-annually-by-米兜彩票网/ Connected Wearable Patch Shipments Will Reach 12.3 Million Units Annually by 米兜彩票网 2015-05-18T00:05:56.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./automation-robotics/computer-vision-promises-to-drive-gpu-growth-in-the-automotive-market/ Computer Vision Promises to Drive GPU Growth in the Automotive Market 2015-05-14T21:01:24.v-06:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/tractica-launches-biometrics-advisory-service/ Tractica Launches Biometrics Advisory Service 2015-05-14T09:47:35.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./user-interface-technologies/is-social-the-killer-app-for-vr/ Is Social the Killer App for VR? 2015-05-13T14:19:28.v-06:00 Craig Foster http://tractica./feed/ 米兜彩票官网Blog http://tractica./digital-health/market-growth-drivers-for-econsults/ Market Growth Drivers for eConsults 2015-05-11T22:50:56.v-06:00 Charul Vyas http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/mobile-device-user-interfaces-will-evolve-beyond-touchscreens-during-the-next-few-years/ Mobile Device User Interfaces Will Evolve Beyond Touchscreens During the Next Few Years 2015-05-11T08:26:37.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./automation-robotics/robots-and-interactive-marketing/ Robots and Interactive Marketing 2015-05-08T13:47:53.v-06:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/fitbits-ipo-filing-reveals-its-successes-to-date-but-has-it-peaked/ Fitbit’s IPO Filing Reveals Its Successes to Date, But Has It Peaked? 2015-05-08T10:42:53.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/tractica-launches-wearable-devices-advisory-service/ Tractica Launches Wearable Devices Advisory Service 2015-05-07T00:05:06.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/biometrics-market-revenue-to-total-67-billion-worldwide-over-the-next-10-years/ Biometrics Market Revenue to Total $67 Billion Worldwide over the Next 10 Years 2015-05-06T00:05:57.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/computer-vision-technology-market-to-reach-33-3-billion-by-2019/ Computer Vision Technology Market to Reach $33.3 Billion by 2019 2015-05-05T00:05:24.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/the-wearable-devices-market-is-poised-for-expansion-into-smart-clothing-and-body-sensors/ The Wearable Devices Market is Poised for Expansion into Smart Clothing and Body Sensors 2015-05-04T08:51:01.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./wearable-devices/gopros-kolor-acquisition-brings-together-virtual-reality-and-wearable-cameras/ GoPro’s Kolor Acquisition Brings Together Virtual Reality and Wearable Cameras 2015-04-29T10:18:27.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/adoption-of-米兜彩票app-health-hubs-to-be-spurred-by-the-opportunity-to-reduce-healthcare-costs-while-improving-patient-outcomes/ Adoption of 米兜彩票官网 Health Hubs to be Spurred by the Opportunity to Reduce Healthcare Costs While Improving Patient Outcomes 2015-04-27T00:05:30.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./user-interface-technologies/a-look-into-mobile-virtual-reality/ A Look into Mobile Virtual Reality 2015-04-26T22:24:09.v-06:00 Craig Foster http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/artificial-intelligence-for-enterprise-applications-to-reach-11-1-billion-in-market-value-by-2024/ Artificial Intelligence for Enterprise Applications to Reach $11.1 Billion in Market Value by 2024 2015-04-23T00:05:23.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./user-interface-technologies/the-evolution-of-personal-emergency-response-systems/ The Evolution of Personal Emergency Response Systems 2015-04-22T03:08:23.v-06:00 Charul Vyas http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/robots-are-serving-up-innovation-in-the-food-industry/ Robots Are Serving Up Innovation in the Food Industry 2015-04-20T07:37:37.v-06:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/more-than-78-million-consumers-will-utilize-米兜彩票app-health-technologies-by-米兜彩票网/ More than 78 Million Consumers Will Utilize 米兜彩票官网 Health Technologies by 米兜彩票网 2015-04-20T00:05:31.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./wearable-devices/baidu-launches-duwear-watch-os-xiaomi-likely-to-follow-soon/ Baidu Launches DuWear Watch OS, Xiaomi Likely to Follow Soon 2015-04-18T09:23:15.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/the-apple-watch-launch-what-we-know-so-far/ The Apple Watch Launch: What We Know So Far 2015-04-18T08:55:36.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/behavior-tracking-technologies-prepare-for-an-evolutionary-leap/ Behavior Tracking Technologies Prepare for an Evolutionary Leap 2015-04-18T02:01:51.v-06:00 Chad Mitchell http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/robots-in-the-logistics-industry/ Robots in the Logistics Industry 2015-04-17T09:11:46.v-06:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/wearable-camera-shipments-will-surpass-30-million-units-annually-by-米兜彩票网/ Wearable Camera Shipments Will Surpass 30 Million Units Annually by 米兜彩票网 2015-04-16T02:01:46.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./automation-robotics/challenges-for-underwater-robots/ Challenges for Underwater Robots 2015-04-14T19:28:47.v-06:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/for-mobile-interfaces-the-future-is-multi-modal/ For Mobile Interfaces, the Future is Multi-Modal 2015-04-14T04:13:24.v-06:00 Peter Cooney http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/more-than-75-million-wearable-devices-to-be-deployed-in-enterprise-and-industrial-environments-by-米兜彩票网/ More than 75 Million Wearable Devices to be Deployed in Enterprise and Industrial Environments by 米兜彩票网 2015-04-08T00:05:24.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./user-interface-technologies/biometrics-where-use-cases-rule/ Biometrics: Where Use Cases Rule 2015-04-07T09:45:50.v-06:00 Bob Lockhart http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/the-curious-case-of-cleaning-robots/ The Curious Case of Cleaning Robots 2015-04-05T23:25:56.v-06:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/computer-vision-will-be-sharpened-by-deep-learning/ Computer Vision will be Sharpened by Deep Learning 2015-04-05T22:19:52.v-06:00 Anand Joshi http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/xiaomi-is-enabling-wearable-based-mobile-payments-with-alibaba-bad-news-for-apple/ Xiaomi is Enabling Wearable-Based Mobile Payments with Alibaba, Bad News for Apple 2015-04-03T14:25:04.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/meerkat-and-periscope-streaming-apps-will-benefit-wearable-cameras/ Meerkat and Periscope Streaming Apps Will Benefit Wearable Cameras 2015-04-03T11:40:04.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/qualcomms-snapdragon-sense-id-a-game-changer/ Qualcomm’s Snapdragon Sense ID: A Game Changer? 2015-03-20T20:57:37.v-06:00 Bob Lockhart http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/withings-sees-the-apple-watch-as-an-opportunity-not-a-threat/ Withings Sees the Apple Watch as an Opportunity, Not a Threat 2015-03-20T15:22:31.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/biometrics-should-supplement-not-replace-passwords/ Biometrics Should Supplement, Not Replace, Passwords 2015-03-20T14:43:25.v-06:00 Bob Lockhart http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/tag-heuer-google-and-intel-join-hands-for-new-luxury-android-wear-watch/ TAG Heuer, Google, and Intel Join Hands for New Luxury Android Wear Watch 2015-03-19T21:00:12.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/does-the-apple-watch-have-touchscreen-based-haptic-feedback-technology/ Does the Apple Watch Have Touchscreen-Based Haptic Feedback Technology? 2015-03-16T23:41:44.v-06:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/mobile-augmented-reality-app-downloads-to-reach-1-2-billion-annually-by-2019/ Mobile Augmented Reality App Downloads to Reach 1.2 Billion Annually by 2019 2015-03-09T00:05:43.v-06:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./wearable-devices/huawei-watch-is-good-news-for-android-wear/ Huawei Watch is Good News for Android Wear 2015-03-04T14:31:35.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/htc-tag-teams-with-under-armour-for-wearable-debut/ HTC Tag Teams With Under Armour For Wearable Debut 2015-03-01T13:55:12.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/robotic-startup-tips-evolve-or-die/ Robotic Startup Tips: Evolve or Die 2015-03-01T01:45:28.v-07:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/pebble-time-primes-the-market-for-apple-gives-a-wake-up-call-to-android-wear/ Pebble Time Primes the Market for Apple, Gives a Wake-Up Call to Android Wear 2015-03-01T01:16:28.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/the-rise-of-agricultural-robots/ The Rise of Agricultural Robots 2015-02-24T22:42:08.v-07:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/smart-watch-shipments-will-more-than-quadruple-in-2015-reaching-24-4-million-units-worldwide/ Smart Watch Shipments Will More than Quadruple in 2015, Reaching 24.4 Million Units Worldwide 2015-02-23T00:05:22.v-07:00 Clint Wheelock http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./automation-robotics/smart-cars-and-mindless-planes/ Smart Cars and Mindless Planes 2015-02-22T22:04:07.v-07:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/bring-your-own-wearable-and-its-enterprise-implications/ Bring Your Own Wearable and Its Enterprise Implications 2015-02-20T17:16:41.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/wearable-device-shipments-to-reach-197-million-units-annually-by-米兜彩票网/ Wearable Device Shipments to Reach 187 Million Units Annually by 米兜彩票网 2015-02-19T02:05:15.v-07:00 Insight Designs http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./wearable-devices/time-for-a-reality-check-on-android-wear/ Time for a Reality Check on Android Wear 2015-02-17T07:34:09.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/major-changes-coming-to-the-small-commercial-drone-industry/ Major Changes Coming to the Small Commercial Drone Industry 2015-02-16T16:10:22.v-07:00 Amy Windju http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/success-stories-in-crowdfunded-robotics/ Success Stories in Crowdfunded Robotics 2015-02-13T00:13:59.v-07:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./newsroom/press-releases/mobile-biometrics-device-and-software-revenue-to-reach-3-5-billion-by-2024/ Mobile Biometrics Device and Software Revenue to Reach $3.5 Billion by 2024 2015-02-10T20:03:38.v-07:00 Insight Designs http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./newsroom/press-releases/tractica-is-formed-to-provide-in-depth-market-analysis-focused-on-human-technology-interaction/ Tractica is Formed to Provide In-Depth Market Analysis Focused on Human Technology Interaction 2015-02-10T01:40:34.v-07:00 Insight Designs http://tractica./feed/?post_type=press_release 米兜彩票官网Press Releases http://tractica./automation-robotics/commercial-drone-innovation-and-the-regulatory-landscape/ Commercial Drone Innovation and the Regulatory Landscape 2015-02-09T16:15:21.v-07:00 Amy Windju http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/huawei-will-beat-rival-xiaomi-to-the-smart-watch/ Huawei Will Beat Rival Xiaomi to the Smart Watch 2015-02-06T14:31:38.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/is-artificial-intelligence-a-threat-to-humanity/ Is Artificial Intelligence a Threat to Humanity? 2015-02-06T14:02:54.v-07:00 Bruce Daley http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/swatchs-strategic-reversal-on-smart-watches/ Swatch’s Strategic Reversal on Smart Watches 2015-02-06T13:40:02.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/microsoft-hololens-is-compelling-but-give-it-more-time/ Microsoft HoloLens is Compelling, but Give it More Time 2015-01-27T20:55:10.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/robotic-innovations-and-the-valley-of-death-the-story-of-japan-and-korea/ Robotic Innovations and the Valley of Death: The Story of Japan and Korea 2015-01-27T11:52:39.v-07:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/the-pitfalls-of-patent-protection-in-the-biometrics-market/ The Pitfalls of Patent Protection in the Biometrics Market 2015-01-26T12:49:53.v-07:00 Bob Lockhart http://tractica./feed/ 米兜彩票官网Blog http://tractica./automation-robotics/breakthroughs-in-medical-robotics-what-to-expect-in-2015/ Breakthroughs in Medical Robotics: What to Expect in 2015 2015-01-20T11:55:50.v-07:00 Manoj Sahi http://tractica./feed/ 米兜彩票官网Blog http://tractica./user-interface-technologies/mobile-biometrics-are-not-ready-for-law-enforcement-use-cases/ Mobile Biometrics are not Ready for Law Enforcement Use Cases 2015-01-16T14:44:45.v-07:00 Bob Lockhart http://tractica./feed/ 米兜彩票官网Blog http://tractica./wearable-devices/wearables-at-ces-2015/ Wearables at CES 2015 2015-01-13T13:42:55.v-07:00 Aditya Kaul http://tractica./feed/ 米兜彩票官网Blog