AI systems are beginning to produce proof ideas that experts take seriously, even when final acceptance is still pending.

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

Mathematician Richard Evan Schwartz of Brown University tackled the problem in a recent study by working backward from an existing polyhedral torus to answer questions about what would be needed to ...

Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.

Mathematicians finally understand the behavior of an important class of differential equations that describe everything from ...

In this video, we explain vectors and derivatives as essential math methods used in physics, showing how they describe motion, direction, and change. Clear explanations and examples help connect ...

Abstract: Direction of Arrival (DOA) estimation of highly correlated or coherent sources remains a challenging problem, particularly for subspace-based methods such as MUSIC and Root-MUSIC, which ...

I don’t typically write responses to other opinion pieces, but there was one two weeks ago about new techniques in elementary math education that has inspired me. The main complaint was that there are ...

Senate Republicans used their majority on Monday to set a new budgeting precedent, disregarding longstanding rules affecting which bills can be shielded from a filibuster. By Andrew Duehren Reporting ...