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

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

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

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

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

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

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

The Bears have quite the divisional round matchup with the Rams’ 13 personnel. To counter it, linebacker Tremaine Edmunds ...

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.

An 11-year-old Ridgeview student’s idea became a math club that placed in the top 10% nationally in its first year of ...

If you are a math teacher in 2025, you have likely had The Conversation in the faculty lounge. It usually goes something like this:"I assigned a worksheet on qu ...

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...