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.

AxiomProver solved a real open math conjecture using formal verification, signaling a shift from AI that assists research to ...

When a student first learns how a simple equation can explain the motion of planets or the behaviour of light, it sparks more than academic interest--it awakens a lifelong curiosity about how the ...

Urschel involved the crowd in his explanation of linear systems. He used an example problem of finding the ages of two ...

The South Florida Water Management District held a python hunt in December with cash prizes. Kevin Pavlidis won multiple awards, including for most pythons captured and the longest python. The ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.

Hannah Cairo shook the math world when she disproved the Mizohata-Takeuchi conjecture, a 40-year-old unsolved math problem, when she was only 17. Well ahead of her peers in math, Cairo applied to ...

In Brookline, at the corner of Beacon and Washington Street, shiny SUVs pull up to a nondescript yellow building. Kids hurry out of the cars, and teachers usher them through the building’s glass doors ...

In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...

This is read by an automated voice. Please report any issues or inconsistencies here. To the editor: The importance of math literacy cannot be overstated (“Math crisis began a decade ago and has only ...