artificial intelligence

By teaching machines to understand our true desires, one scientist hopes to avoid the potentially disastrous consequences of having them do what we command.

The laws of physics stay the same no matter one’s perspective. Now this idea is allowing computers to detect features in curved and higher-dimensional space.

After millions of games, machine learning algorithms found creative solutions and unexpected new strategies that could transfer to the real world.

By ignoring their goals, evolutionary algorithms have solved longstanding challenges in artificial intelligence.

Researchers have discovered a surprising mathematical relationship in the brain’s representations of sensory information, with possible applications to AI research.

A tool known as BERT can now beat humans on advanced reading-comprehension tests. But it’s also revealed how far AI has to go.

After successfully predicting laboratory earthquakes, a team of geophysicists has applied a machine learning algorithm to quakes in the Pacific Northwest.

In some ways, machine vision is superior to human vision. In other ways, it may never catch up.

Iyad Rahwan’s radical idea: The best way to understand algorithms is to observe their behavior in the wild.