A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

In this new game, the machine learning is targeted at the "controller ... Which means it learns how to drive at the limit using the same physics that human players deal with within the parameters ...

In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Students at the Ruth Patrick Education Center’s Camp Invention are spending June 9-13 solving problems, learning through ...

At first, Yu mainly played computer games, but in middle school she won an award ... San Diego (UCSD), is a leader in a field known as “physics-guided deep learning,” having spent years incorporating ...

The game of chess has long been central to computer ... chess provides an ideal platform for developing and testing algorithms in AI, machine learning, and decision theory," Barthelemy writes.

STOCKHOLM — John Hopfield and Geoffrey Hinton were awarded the Nobel Prize in physics Tuesday for discoveries and inventions that formed the building blocks of machine learning. "This year's two ...

John Hopfield and Geoffrey Hinton were awarded the 2024 Nobel Prize in physics on Tuesday for their contributions to machine learning. Their research, which draws from statistical physics ...

John Hopfield and Geoffrey Hinton were awarded the Nobel Prize in physics Tuesday for discoveries and inventions that formed the building blocks of machine learning. “This year’s two Nobel ...