artificial intelligence

A new idea is helping to explain the puzzling success of today’s artificial-intelligence algorithms — and might also explain how human brains learn.

A tiny self-organized mesh full of artificial synapses recalls its experiences and can solve simple problems. Its inventors hope it points the way to devices that match the brain’s energy-efficient computing prowess.

Computer scientists are finding ways to code curiosity into intelligent machines.

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

The biological world is computational at its core, argues computer scientist Leslie Valiant.

Computers can translate French and prove mathematical theorems. But can they make deep conceptual insights into the way the world works?

Computer scientist Stuart Russell wants to ensure that our increasingly intelligent machines remain aligned with human values.

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.