AI just solved one of the world’s hardest math problems.

OpenAI announced a solution to the Navier-Stokes problem. But could its A.I. models have used data from two mathematicians ...

An internal model more powerful than GPT-6 Astra produced a proposed solution to one of mathematics’ seven Millennium Prize ...

The Millennium Prize breakthrough is proof of AI’s accelerating and terrifying progress ...

UCLA professor and mathematician Terence Tao has sounded the alarm over the accelerating AI race in math happening right now.

The company’s announcement is the most dramatic sign yet that artificial intelligence is fundamentally transforming the field ...

OpenAI's controversial claim to have cracked the Navier-Stokes existence-and-smoothness problem has sent shock waves through ...

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in discrete geometry that had stumped human mathematicians for the last 80 ...

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 ...

Areas of pure math such as algebra, analysis, combinatorics and many others can be used—in some cases combined—to solve the complex math problems arising from applications of math to the real world.

You can probably think of a time when you’ve used math to solve an everyday problem, such as calculating a tip at a restaurant or determining the square footage of a room. But what role does math play ...