From “impossible” puzzles to machine‑readable proofs The most striking shift is that AI is now solving problems that experts once labeled “impossible” for computers, at least in practice. Recent work ...

Scientists are sending millions of questions to AI weekly, speeding up research in physics, chemistry, and biology ...

24-year-old founder and CEO Carina Hong created Axiom Math in March 2025 and has recruited a team of ten employees, most of whom are from Meta, to build a math-focused AI model. Last fall, Carina Hong ...

Add Yahoo as a preferred source to see more of our stories on Google. A new report from OpenAI and a group of outside scientists shows how GPT-5, the company’s latest AI large language model (LLM), ...

Artificial intelligence systems may be good at generating text, recognizing images, and even solving basic math problems—but when it comes to advanced mathematical reasoning, they are hitting a wall.

It’s hard to predict the future, especially when it comes to artificial intelligence. But in a recent survey, the EdWeek Research Center asked math teachers to look ahead five years and imagine the ...

Clarification: This story has been updated to clarify how University of Colorado researchers handle their data collection. A student digs into a math problem that references his favorite superhero, ...

Forbes contributors publish independent expert analyses and insights. Entrepreneur and technologist in AI and AI Literacy. Over the past few months, two notable developments occurred in AI that you ...

ChatGPT has already wreaked havoc on classrooms and changed how teachers approach writing homework, since OpenAI publicly launched the generative AI chatbot in late 2022. School administrators rushed ...

Harmonic, an AI startup co-founded by Robinhood CEO Vlad Tenev, announced Monday the beta launch of an iOS and Android chatbot app where users can access its AI model, Aristotle. With this launch, the ...

How can an AI be superhuman at differential medical diagnosis or good at very hard math … and yet still be bad at relatively ...