The mathematics community is still in shock. On September 8, 2026, OpenAI announced that an artificial intelligence model may have solved one of the most significant problems in the field, the ...

The Navier-Stokes problem concerns equations of fluid motion, illustrated here as dye moving in liquid. Kterletska via Wikimedia Commons under CC BY 4.0 The Navier-Stokes problem, a famous theoretical ...

You're currently following this author! Click to unsubscribe from email alerts. Math is hard. And, apparently, expensive. On Tuesday, OpenAI said its agents had solved the Navier-Stokes equations, a ...

OpenAI on Tuesday said its artificial intelligence technology has cracked one of the Millennium Problems –– seven famously difficult and unsolved questions in mathematics that have stumped even the ...

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 ...

OpenAI claims one of its AI models has found a solution to the Navier-Stokes problem, one of the toughest and most enduring puzzles in mathematics, sitting on the list of Millennium Prize Problems, ...

OpenAI announced today that it had solved the problem, one of seven “Millennium Problems” seen as among the most important in higher mathematics. By Cade Metz On Tuesday, OpenAI announced that its ...

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 Engineers have developed a new way to use AI to solve inverse partial differential equations (PDEs), a particularly challenging class of mathematical problems with broad implications for ...

Many scientific models are formulated as partial differential equations (PDEs) describing physical or biological processes. In practice, key parameters or functions in these models are often unknown ...