In a test kitchen in a corner building in downtown Pasadena, Flippy the robot grabbed a fryer basket full of chicken fingers, plunged it into hot oil -- its sensors told it exactly how hot -- then lifted, drained and dumped maximally tender tenders into a waiting hopper. A few feet away, another Flippy eyed a beef patty sizzling on a griddle. With its camera eyes feeding pixels to a machine vision brain, it waited until the beef hit the right shade of brown, then smoothly slipped its spatula hand under the burger and plopped it on a tray. The product of decades of research in robotics and machine learning, Flippy represents a synthesis of motors, sensors, chips and processing power that wasn't possible until recently. Now, Flippy's success -- and the success of the company that built it, Miso Robotics -- depends on simple math and a controversial hypothesis of how robots can transform the service economy.

Self-driving cars are one of the high-risk artificial intelligence applications the European Union wants to regulate. The European Commission today unveiled its plan to strictly regulate artificial intelligence (AI), distinguishing itself from more freewheeling approaches to the technology in the United States and China. The commission will draft new laws--including a ban on "black box" AI systems that humans can't interpret--to govern high-risk uses of the technology, such as in medical devices and self-driving cars. Although the regulations would be broader and stricter than any previous EU rules, European Commission President Ursula von der Leyen said at a press conference today announcing the plan that the goal is to promote "trust, not fear." The plan also includes measures to update the European Union's 2018 AI strategy and pump billions into R&D over the next decade. The proposals are not final: Over the next 12 weeks, experts, lobby groups, and the public can weigh in on the plan before the work of drafting concrete laws begins in earnest.

CUJO AI is using artificial intelligence (AI) and machine learning (ML) for its new online privacy and tracking platform, which is called Incognito. CUJO AI offers "digital life protection" through its AI solutions that are in use by network service providers and their customers. CUJO AI provides network, mobile and public Wi-Fi operators with a full-stack set of cloud and edge software that captures, processes, curates and acts on device-level network data. With Incognito, CUJO AI uses its AI engine, ML analysis and real-time traffic classification to help broadband users and service providers evaluate privacy threats in the data flows and then block elements to provide privacy protection. Incognito uses machine learning to analyze website requests and upstream responses, looking for third-party trackers such as cookies, browser fingerprinting techniques and tracking ads.

SAN FRANCISCO – As companies quickly adopt machine learning systems, cybercriminals are close behind scheming to compromise them. That worries legal experts who say a lack of laws swing open the door for bad guys to attack systems. During a panel session at RSA Conference 2020 this week, Cristin Goodwin, the assistant general counsel with Microsoft, said the number of machine learning related U.S. court cases is a mere 52. She noted most were related to patents, workplace discrimination and even gerrymandering. Few court cases addressed actual cyberattacks on machine learning systems – demonstrating a dangerous dearth in legal precedent around the technology.

El Segundo, CA (February 25, 2020) – CUJO AI, the global leader in the development and application of artificial intelligence to improve the security, control and privacy of connected devices, today announced the launch of Incognito, an AI-powered privacy and tracking protection solution. The CUJO AI Incognito solution will enable users to take control of their private information by automatically blocking tracking software that profiles them on the Internet. CUJO AI Incognito leverages Artificial Intelligence (AI), Machine Learning (ML) analysis, and real-time traffic classification to evaluate privacy threats in the data flow and then block elements of it to provide the best possible privacy protection. CUJO AI Incognito uses machine learning to analyze website requests and upstream responses, looking for third-party trackers like cookies, browser fingerprinting techniques and tracking ads. Incognito blocks these trackers in the broadband gateway and minimizes the personal information disclosed.

The U.S. Energy Department earlier this month appointed former 3M Co. artificial-intelligence leader Cheryl Ingstad as the first director of its Artificial Intelligence and Technology Office, where she will oversee the DOE's AI activities. The mission of the AITO, which was formed in September 2019, is to coordinate the department's artificial-intelligence activities, which includes scaling AI projects across the DOE, sharing best practices and reducing duplicate projects. The office also is charged with facilitating partnerships...

Chris Smith and Phil Sansom delve into the world of artificial Intelligence (AI) to find out how this emerging technology is changing the way we practise medicine... Mike - I think this is an area where AI stands a really good chance of making quite dramatic improvements to very large numbers of people's lives. Carolyn - Save lives and reduce medical complications. Beth - That's a concern - when machine-learning algorithms learn the wrong things. Andrew - Frankly revolutionary productivity that we are now starting to see from these AI approaches in drug design. Lee - It will replace all manual labor in all research laboratories. And then suddenly everyone can collaborate. Phil - But what was previously sci-fi is now closer to reality. AI technology exists, and there's a brand new frontier where it's being applied to the world of healthcare. Chris - But this isn't the AI you see in the movies. In the words of Kent University computer scientist Colin Johnson, "this is more software than Schwarzeneggar"... Colin - When scientists say AI, they often mean some piece of code that's running on a computer and it's taking some inputs.

SUNY Polytechnic Institute has begun research on the use of artificial intelligence in classrooms. "The basic gist of it is we're trying to recognize the emotional states that a student is feeling while they are using virtual reality or augmented reality in the classroom." Dr. Reale says that in order for professors to be able to correctly respond to how a student is performing in class, they need to understand how the student is feeling. "The goal here is to have a device that's on the virtual or augmented reality headset such that it recognizes the emotional state of the student, and for this particular project we are targeting what are called non-standard expressions." The project has 2 phases.

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The AI-Base Module will be implemented across 5,000 Atal Tinkering Labs (ATL), empowering 2.5 million students. The module is likely to be introduced to ATL students on 27 February. The module contains activities, videos and experiments that enable students to work through and learn the various concepts of AI. Niti Aayog CEO Amitabh Kant said the AI module was critical since it was targeted at young children. "This is path breaking, it combines playing and academics and our job is to make things very interesting. We want to make artificial intelligence a great fun, so that children can enjoy it, they can evolve and learn and take India forward," said Kant. "This is the first ever industry government academia initiative on such a scale to keep the school students abreast of latest technologies," said Mission Director Atal Innovation Mission, NITI Aayog R Ramanan.