Report from wireless connectivity trade body outlines frameworks and priorities needed to scale intelligent Wi-Fi through artificial intelligence and machine learning without industry fragmentation.

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

Harvard researchers have developed OpenMetabolics, an open-source, smartphone-based activity monitor that uses machine ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

New Wireless Broadband Alliance report lays out the frameworks and priorities needed to scale intelligent Wi-Fi without ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Computer scientists Maria Apostolaki, Benjamin Eysenbach, and Yasaman Ghasempour; chemists William Jacobs and Erin Stache; physicist Isobel Ojalvo; and mathematician Bartolomeo Stellato are members of ...

So much of our health is invisible even to ourselves, and one of the biggest barriers to better health is simply not knowing what's going on,' says Apple’s Steve Waydo, director for health sensing.

Should AI models be allowed to act like they're your friend? It's a question that tearing up many AI researchers inside.

Based on these challenges, a comprehensive reassessment of how AI should be deployed in electrocatalysis has become urgently ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...