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17 articles
AI systems are revolutionizing mathematical problem-solving, prompting existential questions among mathematicians about the future of their discipline and the role of human intuition in mathematical discovery.
Learn how to use AI tools like Wolfram Alpha to assist with mathematical problem-solving while maintaining human understanding and critical thinking skills.
Explore how AI models are advancing mathematical research, particularly in tackling the Riemann hypothesis - one of mathematics' most challenging unsolved problems.
Mathematician James Maynard reflects on the transformative role of AI in mathematics, as traditional research methods face disruption from machine computation and new collaborative approaches.
This article explains how AI systems like GPT can now solve complex math problems that have puzzled humans for decades, and what this means for the future of mathematics.
This article explains how OpenAI's advanced AI system GPT-5.6 Sol Ultra solved a 50-year-old math problem in under an hour, using parallel processing and subagents. It explores what this means for AI's role in science and math.
A Miami startup claims to have cracked a key mathematical bottleneck in AI, making large language models faster and more energy-efficient. Independent tests back up their bold claims.
Anthropic's Claude Fable 5 outperforms OpenAI's GPT-5.5 by 13 points on the toughest FrontierMath problems, marking a significant leap in AI mathematical reasoning.
Learn to build a semantic search engine and open-status classifier using the ResearchMath-14k dataset, applying TF-IDF, embeddings, and clustering techniques.
A coalition of mathematicians from top institutions has issued a formal declaration urging AI companies to stop using mathematical work without permission, calling for transparency and attribution.
Learn how to use AI tools like Wolfram Alpha to assist with math problems, from basic calculations to complex equations, demonstrating how AI can support mathematical research.
Google DeepMind's AlphaProof Nexus autonomously solved nine open Erdős problems, including two that stumped mathematicians for 56 years, for just a few hundred dollars per problem.
