Experts gave AI 10 math problems to solve in a week. OpenAI, researchers and amateurs all gave it their best shot ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

By explicitly modeling each step of a problem and gradually fading away supports, teachers can give students a clear path to mastering new content.

LLMs have recently helped find solutions to a number of minor longstanding problems. But a new plan called First Proof is really putting them to the test ...

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 ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

Allan Sun is a software and systems engineer at Apple, where he works on real-time system software and infrastructure for Apple’s in-house 5G modem silicon platforms (C1X), one of the company’s most ...

Amid sky-high inflation, water and energy cuts and prospects for a deal with the U. S. dimming, President Masoud Pezeshkian has apparently thrown up his hands. By Farnaz Fassihi and Leily Nikounazar ...

Researchers at TU Wien have discovered an unexpected connection between two very different areas of artificial intelligence: Large Language Models (LLMs) can help solve logical problems—without ...

December 10, 2025 - AI is everywhere in the legal industry conversation. Often, its adoption is framed as a big, risky bet that requires a "courageous advocate" to drive initiative. In this scenario, ...

UC San Diego is trying to solve a math problem. The university said a growing number of students are starting their freshman year lacking high school math proficiency. KPBS reporter Jacob Aere says ...

When a company with tens of thousands of software engineers found that uptake of a new AI-powered tool was lagging well below 50%, they wanted to know why. It turned out that the problem wasn’t the ...