Since you last thought about math, the people who think about math every day have been freaking out. A month ago, when OpenAI announced that one of its powerful internal models had cracked a ...

After a previous solution angered mathematicians, the company characterized the new release as being more responsive to concerns about A.I. disrupting research. By Kenneth Chang and Siobhan Roberts ...

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 ...

Let’s start here: math’s most famous problem is no closer to being solved than it was a week ago. Neither humans nor artificial intelligence have made progress on the Riemann hypothesis. But AI did ...

“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 ...

A high-tech executive I coached, Anna*, was told she had a “blind spot” just a year into her role. Her CEO admired her decisiveness, respected her clarity, and valued her confidence. At the same time, ...

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 ...

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.