Machine learning

In the hunt for new fundamental particles, physicists have always had to make assumptions about how the particles will behave. New machine learning algorithms don’t.

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.

Faced with a navigational challenge, neural networks spontaneously evolved units resembling the grid cells that help living animals find their way.

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

The computer scientist Barbara Engelhardt develops machine-learning models and methods to scour human genomes for the elusive causes and mechanisms of disease.

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.

Stimulating part of the cortex as needed during learning tasks improves later recall. The finding reveals more about the brain's memory network and points toward possible therapies.

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

When equipped with hidden layers, deep neural networks can accomplish nonlinear feats that are difficult even with sophisticated mathematics.