neural networks

In a renewed attempt at a grand unified theory of brain function, physicists now argue that brains optimize performance by staying near — though not exactly at — the critical point between two phases.

The latest artificial intelligence systems start from zero knowledge of a game and grow to world-beating in a matter of hours. But researchers are struggling to apply these systems beyond the arcade.

The fusion of quantum computing and machine learning has become a booming research area. Can it possibly live up to its high expectations?

A new version of AlphaGo needed no human instruction to figure out how to clobber the best Go player in the world — itself.

A project to decipher the brain’s learning rules could revolutionize machine learning.

The Go-playing program teaches itself to replicate something very much like human intuition, an advance that promises far-reaching consequences.

New research suggests physicists, computers and brains employ the same procedure to tease out important features from among other irrelevant bits of data.

Studies show that computer models called “neural networks” behave strikingly similar to actual brains when performing certain tasks, suggesting the two may learn in the same way.