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.

When that break occurs, the mathematics behind the code moves instantly. Organizations, however, do not move so fast.

New research by scientists at the University of Liverpool looks at how artificial intelligence (AI) can help doctors make ...

Brain-inspired neuromorphic computers are beginning to show an unexpected talent for tackling the complex equations that govern physical systems. New research demonstrates that these systems can solve ...

Neuromorphic computers may look like regular computers from the outside but the circuitry is entirely different.Sandia National Laboratories The world’s first neuromorphic supercomputer is moving ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.

Sandia National Labs today released an update on its neuromorphic computing research, reporting that these systems, inspired by the architecture of the human brain, are surprisingly adept at solving ...

Download Maple – advanced mathematics and symbolic computation. Maple represents a comprehensive environment for mathematical exploration and technical problem solving, blending symbolic computation ...

Google LLC’s two major research units have made a significant advance in the area of large language model privacy with the introduction of a new model called VaultGemma, the world’s most powerful ...

If you’ve ever shuffled a deck of playing cards, you’ve most likely created a unique deck. That is, you’re probably the only person who has ever arranged the cards in precisely that order. Although ...