“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

Among high school students and adults, girls and women are much more likely to use traditional, step-by-step algorithms to ...

"AI can't do math" is no longer true. Our team has been using Creatium Studio's math capabilities to create interactive ...

Adding one irrelevant sentence to math problems causes AI systems to make confident mistakes over 300 percent more.

A Mathematician with early access to XAI Grok 4.20, found a new Bellman function for one of the problems he had been working ...

Some math problems are designed in ways that reward simplicity rather than analytical depth. Research shows that highly ...

Professional mathematicians have been stunned by the progress amateurs have made in solving long-standing problems with the ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.

Math teacher Emma Chiappetta uses a three-round exercise to help students not only recognize their errors, but also generate ...

Overview: Large Language Models predict text; they do not truly calculate or verify math.High scores on known Datasets do not ...

Math-M-Addicts students eagerly dive into complex math problems during class. In the building of the Speyer Legacy School in New York City, a revolutionary math program is quietly producing some of ...