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US joins G7 artificial intelligence group to counter China’s record of ‘twisting technology’

us joins g7 artificial intelligence group to counter china’s record of ‘twisting technology’

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WASHINGTON — The U.S. has joined an international panel for setting ethical guidelines for the use of artificial intelligence. The Trump administration had earlier dismissed the idea.
The White House’s chief technology officer, Michael Kratsios, told The Associated Press on Thursday it is important to establish shared democratic principles as a counter to China’s record of “twisting technology” in ways that threaten civil liberties.
“Chinese technology companies are attempting to shape international standards on facial recognition and surveillance at the United Nations,” he said.
The Trump administration had been the lone holdout among leaders of the Group of Seven — the world’s wealthiest democracies — in setting up the Global Partnership on AI.
The partnership launched Thursday after a virtual meeting between national technology ministers. It was nearly two years after the leaders of Canada and France announced they were forming a group to guide the responsible adoption of AI based on shared principles of “human rights, inclusion, diversity, innovation and economic growth.”
The Trump administration objected to that approach, arguing that too much focus on regulation would hamper U.S. innovation. But negotiations over the past year and changes to the group’s scope led the U.S. …

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U.S. joins G7 artificial intelligence group to counter China

u.s. joins g7 artificial intelligence group to counter china

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The U.S. has joined an international panel for setting ethical guidelines for the use of artificial intelligence. The Trump administration had earlier dismissed the idea.

The White House’s chief technology officer, Michael Kratsios, told The Associated Press on Thursday it is important to establish shared democratic principles as a counter to China’s record of “twisting technology” in ways that threaten civil liberties.

“Chinese technology companies are attempting to shape international standards on facial recognition and surveillance at the United Nations,” he said.

The Trump administration had been the lone holdout among leaders of the Group of Seven — the world’s wealthiest democracies — in setting up the Global Partnership on AI.

The partnership launched Thursday after a virtual meeting between national technology ministers. It was nearly two years after the leaders of Canada and France announced they were forming a group to guide the responsible adoption of AI based on shared principles of “human rights, inclusion, diversity, innovation and economic growth.”

The Trump administration objected to that approach, arguing that too much focus on regulation would hamper U.S. innovation. But negotiations over the past year and changes to the group’s scope led the U.S. to join, Kratsios said.

“We …

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How Army Futures Command plans to grow soldiers’ artificial intelligence skills

how army futures command plans to grow soldiers’ artificial intelligence skills

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WASHINGTON — With artificial intelligence expected to form the backbone of the U.S. military in the coming decades, the Army is launching a trio of new efforts to ensure it doesn’t get left behind, according to the head of Army Futures Command. While speaking at an event Wednesday hosted by the Defense Writers Group, Gen. Mike Murray was asked about areas that need more attention as his command works to modernize the force. Murray pointed to a change in how the service does long-term planning, as well as two personnel efforts that could pay off in the long run. The first is something Murray has dubbed “Team Ignite,” which he described as “ad hoc, right now,” with a hope to formalize the process in the future. In essence, this means bringing in the teams that write the concept of operations for the military and having them work next to the technologists driving research and development efforts so that everything is incorporated early. “It has occurred to me for a long time that when we prepare concepts about how we will fight in the future, they are usually not informed by scientists and what is potentially out there in terms …

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CVPR 2020 Features Latest in Machine Learning, Facial Recognition

cvpr 2020 features latest in machine learning, facial recognition

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Technical presentations address latest scientific advancements and their applicability to the commercial marketThe annual Computer Vision and Pattern Recognition Conference (CVPR), the largest conference of its kind, unveils the latest research spanning the fields of computer vision, deep learning, artificial intelligence, image compression, pattern analysis, and beyond. This year’s conference convenes as a virtual event from 14 –19 June 2020.As a virtual event, attendees will be able to participate remotely from around the globe, accessing the diverse and original content for which the conference is known. CVPR 2020 registrants will explore topics as varied as medical data analysis, facial recognition, machine learning, autonomous driving, social analytics, fashion applications, and much more. The following sampling of presentations offers a glimpse into the leading research to be introduced at this year’s event.Recommended AI News: Simplify Deploys 8×8 for Enhanced Collaboration and EngagementMedical Data Analysis–  IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning (Tuesday, 16 June, 14:40, PDT) – Researchers from the University of Tokyo and South China University of Technology introduce a 3D intracranial aneurysm dataset, IntrA, that supports physicians in more precisely diagnosing and treating intracranial aneurysms.Facial Recognition–  Face X-Ray for More General Face Forgery Detection (Wednesday, 17 June, 10:20, PDT) – Microsoft Research Asia and …

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IDTechEx Research – Agricultural Robots and AI: A Question of When and Not If

idtechex research – agricultural robots and ai: a question of when and not if

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The IDTechEx assessment is that the upcoming changes are already a question of when and not if. The transformation will not be overnight, but nonetheless, robotics and AI are inevitability in the evolution of agricultural tools and practises. The scale of the potential is demonstrated in the chart below, which shows the forecasted long-term growth in annual unit sales (vs accumulated fleet size) of various autonomous and/or robotic solutions.

In this article, IDTechEx Research provides an overview of the key product categories and discusses underlying technologies which are driving this change. For each, we offer our insights about the current and future technical and adoption status. IDTechEx Research has been examining the technologies, applications, products, and players active in agricultural robotics and AI for the past five years. The article is based on the IDTechEx report “Agricultural Robots, Drones, and AI: 2020-2040: Technologies, Markets, and Players”, which covers the latest developments and reflects our latest insights, analysis, and market projections.
Indeed, this report analyses all the emerging product types, including autonomous robots taking plant-specific precision action, intelligent vision-enabled robotic implements, diverse robotic fresh fruit harvesters, highly automated and autonomous tractors and high-power farm vehicles, drones, automatic milking, and so …

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New Software Developed to Improve Robotic Prosthetics

new software developed to improve robotic prosthetics

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Anthony is the co-founder and COO of Dexai Robotics, a startup that automates activities in commercial kitchens using flexible robot arms. Prior to Dexai, Anthony worked as a consultant with the Boston Consulting Group, focusing on growth strategies. Anthony holds a MBA from Harvard Business School, and a B.E. in Mechanical Engineering and a B.S. in Mathematics from the American University of Beirut. Outside of work, Anthony enjoys chasing soccer balls and exploring sunken sea treasures.What is it that attracted you to robotics initially?I’m amazed by our ability, as humans, to develop “complex tools” out of simple components to improve our standard of living. At the same time, we’re living in a period during which many enabling technologies are being improved by an order of magnitude. Just look back at the past two decades: collaborative robots were created and became affordable for commercial applications, control theory advanced substantially, computer vision is arguably at the super human level, machine learning is enabling very rapid decision making, and the internet infrastructure improved enough to connect all of this together. Right now is really the most exciting time for robotics; for the first time in history, robot …

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SD Times news digest: Netlify Build Plugins, Docker extends collaboration with Microsoft, and Eggplant deep learning capabilities – SD Times

sd times news digest: netlify build plugins, docker extends collaboration with microsoft, and eggplant deep learning capabilities – sd times

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Netlify announced Netlify Build Plugins, a set of tools that allows developers to easily customize and automate CI/CD workflows for Jamstack websites and web applications.
Previously, developers had to set up changes or integrations to the build process by configuring every command to run at build, downloading and validating every dependency, and writing the code to make it all work, the company explained. 
Build Plugins are designed to make developers more productive by creating a CI/CD workflow designed for frontend developers, offering plugins reviewed by the Netlify team, enabling the use of an existing plugin or bringing your own, and allowing one-click install from the Netlify UI. 
Additional details are available here.
Docker extends its collaboration with MicrosoftDocker extended its collaboration with Microsoft Azure to boost developer productivity by enabling Docker commands to run applications in Azure Container instances. 
The deeper collaboration, which also includes tighter integration with Visual Studio Code, will allow developers to quickly start new language-specific projects in Node.js, Python, .NET Core/C#,  leverage new functionality around the Compose Specification and streamline how they switch from local development to a serverless cloud container service while remaining in the Docker CLI user interface or from …

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Programming uncertainty into AI can improve safety of robotic prosthetics

programming uncertainty into ai can improve safety of robotic prosthetics

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iStock-dima_sidelnikov
Programming for uncertainty in Artificial Intelligence (AI), as well as incorporating ‘computer vision’, can improve the safety of robotic prosthetics for users.
Walking on different types of terrain can be an issue for those using prosthetics. Now, a new software has been developed by engineers at the North Carolina State University which can help people who use either robotic exoskeletons or robotic prosthetics to walk much safer, as well as allowing for a more natural walk.
This is possible due to the incorporation of computer vision into prosthetic leg control, and the AI accounting for uncertainty on terrains.
Safety of robotic prosthetics
Depending on the terrain users are walking on, lower limb robotic prosthetics will act differently, but problems can be encountered when uncertainties are introduced – sometimes causing the robotic limbs to default into ‘safe mode’.
Taking into account six different terrains, Edgar Lobaton, co-author of a paper on the work and an associate professor of electrical and computer engineering at North Carolina State University, said: “The framework we’ve created allows the AI in robotic prostheses to predict the type of terrain users will be stepping on, quantify the uncertainties associated with that prediction, and then incorporate …

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Artificial intelligence startup dives into COVID-19 contact tracing, t

artificial intelligence startup dives into covid-19 contact tracing, t

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RALEIGH – Believing that artificial intelligence can improve so-called “contact tracing” and also protect people’s privacy in the battle against COVID-19, Raleigh-based startup Diveplane is rolling out a program called “Aware.”
Crucial to the program is the use of Diveplane-developed “Geminai” which the venture capital-backed company “creates a verifiable synthetic ‘twin’ dataset with the same statistical properties of the original data, but without including the real-world confidential or personal information.” (Diveplane recently won first place in Technology Enablement at the UBS 2019 Future of Finance Challenge for Geminai.)
The use of Geminai, Diveplane says, addresses a key concern about contact tracing: Personal privacy. Diveplane also has partnered with another company, Iron Bow Technologies, to further protected gathered data.

“Accurate but secure contact tracing is foundational for reducing the spread of disease,” says Diveplane about the method of tracking exposure to diseases, a technique that dates back decades.
Butcontact tracing through modern technology via smartphone apps has raised concerns about data privacy and security.
Diveplane, founded by former Epic Games CEO, wins kudos for its AI platform GEMINAI

“Concerned citizens have been eyeing the tradeoff between controlling outbreaks using apps and intrusions on privacy,” the Associated Press reported earlier this week. “Civil …

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The Ultimate Artificial Intelligence and Machine Learning E-Degree Bundle

the ultimate artificial intelligence and machine learning e-degree bundle

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The Ultimate Artificial Intelligence & Machine Learning E-Degree Bundle is a comprehensive e-degree bundle that will redefine the way you learn Artificial Intelligence and Machine Learning online. With 6 hand-picked courses, this master program will give you in-depth insights into Python, R, various tools for AI and Machine Learning, algorithms, and much more.
The Ultimate Artificial Intelligence & Machine Learning E-Degree Bundle covers all the essential concepts such as data analysis, regression analysis, AI research, supervised learning, unsupervised learning, and neural networks that will be explained from the very beginning to the expert level.
In addition, this bundle also includes numerous projects, case studies, quizzes, tips and tricks, and much more exciting stuff.
Get ready to access 300+ lectures and 55+ hours of content 24/7, for all the challenges of AI and ML technology, gain foundational programming knowledge required for AI and ML. Finally, understand Data Analysis, Regression Analysis, AI Research, Supervised Learning, Unsupervised Learning, Neural Networks and more while honing your practical skills with several quizzes, real-life test cases and exams
Don’t wait any longer. Get six modules in one pack with The Ultimate Artificial Intelligence & Machine Learning E-Degree Bundle now for $19.99 — over 97% off its usual price. 
Prices are subject to change.
This is a …

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