AI systems have leapt from failing high school math to solving research-level problems and formalizing Fields Medal-winning proofs — and mathematicians are divided on what it means for the future of ...

Abstract: Large language models are capable of solving complex math problems or answering difficult questions on almost any topic, but can they generate random street addresses for European cities?

Math has a unique relationship with AI. Unlike subjects where answers live in shades of gray, math problems demand precision. A solution is either correct or it isn’t. That makes accuracy the ...

There is a success story brewing in Southeast Arlington. Students at a school that has struggled academically have found a new secret to success thanks to a first-year teacher at Workman Junior High ...

Working memory is critical for tackling difficult math problems, but it is finite and can be overburdened quickly, making it hard for students to parse out details and steps when working through ...

When you swing a tennis racket or catch a set of keys, you aren’t thinking about wind resistance or gravity. Yet, to perform that motion, your brain is solving a massive physics problem in ...

Across the country, states are passing new laws aimed at improving math teaching—mandating that schools intervene early to support students who struggle, expanding access to advanced courses in later ...

When my cofounder and I were accepted into a competitive startup accelerator program in fall 2025, we applied with an ambitious idea: to build an “AI scientist” for machine learning research. What ...

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the backbone of AI, but mathematicians are also turning to these tools for tasks ...

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 ...

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks. However, CoT still falls short in dealing with complex math word problems, ...