artificial intelligence

Neural networks are famously incomprehensible, so Been Kim is developing a “translator for humans.”

A visual prank exposes an Achilles’ heel of computer vision systems: Unlike humans, they can’t do a double take.

Machine learning techniques are commonly based on how the visual system processes information. To beat their limitations, scientists are drawing inspiration from the sense of smell.

A unique neurological “functional fingerprint” allows scientists to explore the influence of genetics, environment and aging on brain connectivity.

A controversial theory suggests that perception, motor control, memory and other brain functions all depend on comparisons between ongoing actual experiences and the brain’s modeled expectations.

Judea Pearl, a pioneering figure in artificial intelligence, argues that AI has been stuck in a decades-long rut. His prescription for progress? Teach machines to understand the question why.

In new computer experiments, artificial-intelligence algorithms can tell the future of chaotic systems.

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?