The QWERTY problem of scienceIn the history of science, there are conventions that have become established where one might ...

After an OpenAI model presented a possible solution to the Navier-Stokes problem, mathematicians are speculating about which ...

On May 20, 2026, OpenAI made an announcement that shook the mathematical world. An internal AI model — one not available to the public — had come up with a counterexample to the “unit distance” ...

In the 126 years since David Hilbert presented his famous 23 problems, mathematicians have made tremendous advancements. Sean McCabe for Simons Foundation; Portrait of David Hilbert by L. Reidemeister ...

“If you are a mathematician,” one of the world’s leading mathematicians recently wrote, “you may want to make sure you are sitting down before reading further.” And you’ll definitely need to sit down ...

Penn researchers have developed a smarter AI method for solving notoriously difficult inverse equations, which help scientists uncover hidden causes behind observable effects. By introducing ...

Scientists who employ various research methods in psychology and make breakthroughs that enhance our knowledge about psychology can have a significant impact on our lives. From influencing the ...

The world appears to be facing a substantial population decline. But experts disagree on whether or not that could spell problems for future generations. David Bloom, Clarence James Gamble Professor ...

What are the most pressing global crises in 2026? Each year, the International Rescue Committee’s (IRC) Emergency Watchlist identifies the countries at greatest risk of new or worsening humanitarian ...

Five years ago, mathematicians Dawei Chen and Quentin Gendron were trying to untangle a difficult area of algebraic geometry involving differentials, elements of calculus used to measure distance ...

St. John's University fired its basketball program's general manager, Matt Abdelmassih, this week. He was reportedly managing a $10 million roster. St. John's University spent $10 million on its ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.