Blog — Latest in Math Tech & AI

News, studies, deep-dives, and trends at the intersection of mathematics and AI.

86 articles available Original analysis and reporting
Math AI News 4 min read Jun 23, 2026

The mathematics AI moment comes with solutions, limits, and new tensions

Nature Machine Intelligence surveys a fast-moving field and asks what mathematical verification can—and cannot—guarantee.

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Math AI News 4 min read Jun 17, 2026

First Proof’s second batch tests whether AI can survive mathematical refereeing

Harvard’s latest First Proof report shifts attention from model claims to the human work required to check research-level solutions.

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Math AI News 4 min read Jun 17, 2026

Mathematicians meet to define where AI belongs in the discipline

A Caltech report from an American Institute of Mathematics workshop captures a field thinking beyond both hype and rejection.

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Research & Studies 1 min read Jun 12, 2026

A rigorous unseen-problem test keeps human mathematical expertise in the lead

Nature reports that leading AI systems still trail top mathematicians when the problems are difficult, novel, and designed to resist memorised patterns.

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Math AI News 4 min read Jun 12, 2026

A rigorous mathematics test puts AI progress in perspective

A new report is a useful reminder that solving selected problems is not the same as sustaining a research-quality mathematical argument.

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Research & Studies 4 min read Jun 12, 2026

A research-level benchmark makes AI mathematics harder to oversell

The Simons Institute reports a benchmark designed to separate genuine mathematical progress from pattern-matching success.

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Research & Studies 4 min read Jun 7, 2026

A new survey maps the AI-for-mathematics field—and its measurement traps

A June 2026 survey brings benchmarks, formal proof, multimodal reasoning, and reporting discipline into one research map.

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Research & Studies 4 min read May 7, 2026

AlphaEvolve shows how search, code, and evaluation can improve algorithms

A look at an evolutionary coding agent and the mathematical role of measurable evaluation.

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Research & Studies 4 min read May 6, 2026

A smoother mathematical layer helps AI approach inverse PDEs

ScienceDaily reports on a method that improves stability when models infer hidden causes from noisy observations.

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