If leading AI companies are announcing new models that are supposed to be more powerful and reliable, then why is user trust ...

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...

Charles G. Goulding examines how advanced 3D printing and copper engineering could unlock the next phase of AI expansion ...

But by this spring, Khan had admitted that the release of Khanmigo was “a non-event” for many kids. Although access exploded, ...

And, with considerable assistance from AI tools, we’re seeing the emergence of companies like Pulse that are developing ...

Last week, OpenAI shocked the mathematical community by revealing that one of its internal artificial intelligence (AI) ...

Mathematician Will Sawin discusses his experience reviewing and refining a mathematical proof devised by OpenAI's internal model—and what that could mean for mathematics.

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in discrete geometry that had stumped human mathematicians for the last 80 ...

It started almost by accident. At my startup Dwelly, I constantly push the limits of what AI tools can actually do. One day I just typed into a chat: “Can you prove P ≠ NP?”—referring to the problem ...

This article is part of a package on the future of quantum computing. Read about the quest to develop these machines here and see an illustrated field guide to qubits here. The 21st-century fervor ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better. In 1939, upon arriving late to his statistics course at the ...