OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, ...

The Sports Analytics Research Group employs quantitative analysis to give teams the hard numbers they need to perform better ...

For years, physicists were stuck in trying to explain an important mathematical problem in physics. The right approach ended ...

If your agentic AI project is failing, your problem is likely that you treated the integration work as somebody else's issue ...

The P vs NP problem is a fundamental question in computer science, unproven for decades, with immense consequences. If ...

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 ...

In 2022, global production of construction materials accounted for more than 7% of total carbon emissions. But how many of ...

The second batch of “First Proof” problems is meant to evaluate AI’s usefulness for research-level math. The best model got six or seven of the ten questions right.

The result is correct but challenges core norms of mathematics: checking proofs, crediting ideas and keeping research open to everyone.

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 ...