Across the country, states are passing new laws aimed at improving math teaching—mandating that schools intervene early to ...

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

When artificial intelligence systems began cracking previously unsolved mathematical problems, the academic world faced an unexpected challenge: determining whether the solutions were genuinely novel ...

The currents of the oceans, the roiling surface of the sun, and the clouds of smoke billowing off a forest fire—all are ...

Faengsrud founded House of Math in 2006, bootstrapping it from a one-woman tutoring service into a platform with over 2.6 million users.

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

DeepMind's Aletheia is a huge advance in AI-driven mathematical reasoning. It is a research agent built on top of Gemini Deep ...

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

The team used an AI method known as equation discovery to develop a model to simulate the interactions between small eddies—circular, vortex-like currents—and large-scale ones. These interactions are ...

Many parents and educators are concerned about standardized test scores released recently by the Missouri Department of ...

AI systems are beginning to produce proof ideas that experts take seriously, even when final acceptance is still pending.

A marriage of formal methods and LLMs seeks to harness the strengths of both.