John Pavlus

An exploration of how artificial intelligence is changing what it means to do science and math, and what it means to be a scientist.

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.

By training machine learning models with enough examples of basic science, Miles Cranmer hopes to push the pace of scientific discovery forward.

The security system that underlies the internet makes use of a curious fact: You can broadcast part of your encryption to make your information much more secure.

To better understand machine learning algorithms, Lenka Zdeborová treats them like physical materials.

Machines work with words by embedding their relationships with other words in a string of numbers.

Neural networks and other forms of machine learning ultimately learn by trial and error, one improvement at a time.

The computer scientist Ellie Pavlick is translating philosophical concepts such as “meaning” into concrete, testable ideas.