Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language ...

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 ...

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

IBM’s research laboratory in Zurich. Above Lake Zurich, in the hills of Rüschlikon, the next chapter in industrial history is currently being written. While the world discusses the latest advances in ...

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.

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to ...