The math world is losing its mind over the new solution to an Erdős problem. This is what AI found, how we missed it—and why it matters.
The dual agent AI system autonomously solved Anderson's conjecture from 2014 Rethlas explores problem-solving strategies like a human mathematician would Archon transforms potential proofs into ...
The result is correct but challenges core norms of mathematics: checking proofs, crediting ideas and keeping research open to everyone.
This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. News about AI math problem raises realization that finding counterexamples can be extremely ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
Amateur mathematicians are using artificial intelligence chatbots to solve long-standing problems, in a move that has taken professionals by surprise. While the problems in question aren’t the most ...
The National Council of Teachers of Mathematics makes the argument that teachers, principals, and district leaders must “stay up to date on current AI trends” to prepare students for the future. But ...
OpenAI said one of its internal models had made a breakthrough with a challenge first posed by Hungarian mathematician Paul Erdős in 1946. Experts say this result could indicate that AI is capable of ...
Do you stare at a math word problem and feel completely stuck? You're not alone. These problems mix reading comprehension with complex math concepts, making them a common hurdle for students. The good ...
When completing math problems, students often have to show their work. It’s a method teachers use to catch errors in thinking, to make sure students are grasping mathematical concepts correctly. New ...
In December 2025, a group of researchers from around the world, including UC Berkeley math professor Nikhil Srivastava, gathered inside the Simons Institute for the Theory of Computing at UC Berkeley.