After an OpenAI model presented a possible solution to the Navier-Stokes problem, mathematicians are speculating about which ...
Networks are everywhere. They connect computers across the internet, carry electricity through power grids and represent ...
This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. OpenAI's Astra model has reportedly solved ten complex, decades-old mathematical problems ...
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” ...
“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 ...
Multi-agent task allocation plays a crucial role in achieving efficient collaboration in heterogeneous multi-agent systems, especially in complex and dynamic environments. However, existing ...
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 ...
The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...
Abstract: This article proposes an expectation maximization sample transfer identification (EM-STI) algorithm to address the parameter identification problem in dynamic systems with nonideal data.
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