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

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

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

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

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

Quanta Magazine moderates comments to facilitate an informed, substantive, civil conversation. Abusive, profane, ...

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

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

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 ...