Computer Science

Technology has forever served as science’s toolbox. But now that AI is being used to develop questions and methods as well, some scientists wonder what their role is going to become.

AI researchers are using techniques inspired by neuroscience to study how language models work — and to reveal how perplexing they can be.

Neural networks power today’s AI boom. To understand them, all we need is a map, a cat and a few thousand dimensions.

Researchers in “natural language processing” tried to tame human language. Then came the transformer.

A simple primer to the 19 most important concepts in artificial intelligence.

Exploring the distant universe, the insides of cells, the abstractions of math, the complexity of information itself and much more, The Quanta Podcast will be a tour of the frontier between the known and the unknown.

Rose Yu has a plan for how to make AI better, faster and smarter — and it’s already yielding results.

We insist that large language models repeatedly translate their mathematical processes into words. There may be a better way.

When pigeons outnumber pigeonholes, some birds must double up. This obvious statement — and its inverse — have deep connections to many areas of math and computer science.