La Géométrie, a short appendix that appeared in Descartes’ famous Discourse on the Method, laid the foundations of analytic ...

The Hopfield network was a “conceptual breakthrough,” said Marc Mézard, a theoretical physicist at Bocconi University in ...

With AI, “we are in the process not of re-creating human biology,” said Thomas Naselaris, a neuroscientist at the University ...

Technology has forever served as science’s toolbox. But now that AI is being used to develop questions and methods as well, ...

Hallucinations / A common (but controversial) term of art for undesirable outputs produced by generative AI, such as when ...

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

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

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

Recent flybys of the fiery world refute a leading theory of its inner structure — and reveal how little is understood about ...

Micro decisions can have macro consequences. A soft matter physicist reveals how interactions within simple cellular ...

The big challenge in deep learning is that you need a lot of data to train the neural network. Fortunately, one of my ...

According to mathematical legend, Peter Sarnak and Noga Alon made a bet about optimal graphs in the late 1980s. They’ve now ...