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

A mathematical problem that had remained unsolved for more than 10 years in the physics of complex systems has finally been ...

Abstract: Deep Reinforcement Learning (DRL) has gained significant attention for its ability to solve combinatorial optimization problems, including the Traveling Salesman Problem (TSP). While ...

Three Duke Rugby players who are math majors tackled a challenge inspired by professional soccer Daniel Cheng, Malachy ...

Abstract: The Ising machine, as a quantum-inspired computing system, can be used to efficiently solve combinatorial optimization problems. Ongoing studies have positioned it to potentially surpass the ...

Last week, OpenAI shocked the mathematical community by revealing that one of its internal artificial intelligence (AI) models had found a counterexample to a famous conjecture made by legendary ...

As the saying goes, one man’s trash is another man’s treasure. Or as Verge Labs might put it, one company’s failed clinical trial … is that same company’s new AI benchmarking dataset. Over a decade ...

A new benchmark pitting AI against previously unseen maths problems shows that systems still fall short of top human expertise. Artificial intelligence has undergone its most scrupulous maths test yet ...

DALLAS, June 08, 2026 (GLOBE NEWSWIRE) -- Applied Digital (NASDAQ: APLD), a designer, builder, and operator of high-performance, sustainably engineered data centers and colocation services for ...

Think about placing dots on a flat surface. You want as many pairs as possible to be separated by the same distance. For any amount of dots, what is the greatest possible number of pairs that can be ...

Artificial intelligence is mastering the kinds of projects that have long helped to build the careers of young mathematicians. What does that mean for their future? Credit...Illustrations by Yoshi ...