AI & RoboticsNews

MIT CSAIL’s RF-Diary monitors people through walls and in total darkness

Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) say they’ve developed a system — RF-Diary — that can detect and caption the behaviors of people within a room from radio signals. They claim their approach can observe people through walls and other occlusions even in complete darkness, and that it learns to track those people’s interactions with objects…
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AI & RoboticsNews

Oral-B's absurd $200 AI toothbrush is finally available

Oral-B showed off its flashy new AI-powered iO toothbrush at CES 2020. It threw around phrases like “linear magnetic drive” and “oscillating, rotating movements,” but the company didn’t reveal the price. Now, the brush is finally available, and it starts at a…
AI & RoboticsNews

White House budget proposal would hike AI and quantum funding by 30 percent

If the US is going to build a quantum internet and otherwise claim technical supremacy, it’s going to need appropriate funding — and that might be forthcoming. As the Wall Street Journal reports, The White House has proposed a 2021 non-defense budget that includes a roughly 30 percent increase in spending on AI and quantum computing. It would spend about $1.5 billion on AI work (versus $1.12…
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AI & RoboticsNews

These AI-generated tennis matches are both eerie and impressive

Thanks to the coronavirus pandemic, there was no Wimbledon Championship this year. But that didn’t stop a team of researchers from Stanford University simulating the annual tournament with the help of artificial intelligence. The team trained their AI using a database of annotated footage. The cyclical nature of tennis helped them create a statistical model that predicts how stars like Novak…
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AI & RoboticsNews

MIT AI system knows when to make a medical diagnosis or defer to an expert

AI can now detect lung, breast, brain, skin and cervical cancer. But in the world of medical AI, figuring out when to rely on experts versus algorithms is still tricky. It’s not simply a matter of who is “better” at making a diagnosis or prediction. Factors like how much time medical professionals have and their level of expertise also come into play. To address this, researchers from…
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