Company behind ChatGPT says 10,000 of its AI systems cracked the Navier-Stokes problem in 88 hours OpenAI claims to have solved a major mathematics problem that has stumped humans for nearly a century ...

Read about how mathematicians are dealing with the AI takeover of their field in our newest feature here. For the second time ever, someone has solved one of the seven Millennium Prize Problems—math’s ...

Today may go down as the biggest day in math in at least two decades, if not far longer. In a development that crystallizes an existential shift in humankind’s oldest intellectual discipline, ...

OpenAI claims its new reasoning model has produced an original mathematical proof disproving a famous unsolved conjecture in geometry, which was first posed by Paul Erdős in 1946. If this sounds ...

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 ...

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.

Imagine you’re a crew member on a big movie production. It’s your first day on the job, and you’re eager to start your film career. You might carry some cables, move some lights… and spoon-feed or ...