machine learning

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

Machine learning works spectacularly well, but mathematicians aren’t quite sure why.

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.

Scientists have begun to decipher the most difficult-to-read parts of the genome — the parts that don’t code for proteins. The new work reveals how errors in these genetic instructions can lead to disease.

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

The nature of computing has changed dramatically over the last decade, and more innovation is needed to weather the gathering data storm.

Machine learning techniques are helping scientists pinpoint the mutations that allow bird and pig viruses to infect humans.

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.