Tag
Postdocs at MIT, Harvard, and Oxford claim substantial progress toward the Yang-Mills existence problem using AI-assisted (Claude and ChatGPT) human-guided research on a ~$500 budget, building on Bałaban's work, and are publicizing it via GitHub as an experiment in community-generated mathematics.
A theorem is presented that may solve the unrestricted 3D isotropic two-phase conductivity-function closure problem, produced and audited by GPT-6 Astra Pro, with potential landmark implications in mathematical physics and materials science if verified.
A 2001 review paper exploring the mathematical physics underlying rainbows and glories, covering scattering theory and wave-optics explanations of these atmospheric optical phenomena.
A tweet promoting the book 'Deep Learning Methods Of Mathematical Physics - Volume I: Direct And Inverse Problems' by Ovidiu Calin, which explores AI and deep learning applications in mathematical physics.
MIT hosted a 2025 workshop on the future of AI and mathematical/physical sciences, bringing together leading researchers to explore how these domains can advance each other. The resulting white paper emphasizes that AI and science should have a two-way relationship, with science informing AI development and AI improving scientific discovery.