Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...

The nature of product recall management has fundamentally changed. Once viewed primarily as a regulatory compliance chore managed by quality and legal teams, today’s automotive recall is an immediate ...

Kimberly Gunner nearly lost her life after being struck by a truck while out for a walk. Five years later, she and her ...

The book opens not in Silicon Valley, but in Dartmouth college in New Hampshire, US, on June 18, 1956. The day when the ...

This article was prepared for the Science Olympiad. The interview was conducted by Yuta Mikhalkin, from the Volunteers for Physics in the Science Olympiad media team. After taking part in the Olympiad ...

By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been ...

Detaching trim, rear lights that don’t work, and windshields that could obscure vision are the Blue Oval’s latest gremlins. The Blue Oval faces three new recalls involving the Ford Flex, F-150 ...

Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy's SLAC National Accelerator Laboratory ...

If there's one headwind that has plagued Ford Motor Co. (NYSE:F) this year, amidst the volatile tariff environment and President Donald Trump's policy changes, it has to be the several recalls it has ...

C. Michael White does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...