Alan Turing

Researchers demonstrate that a single transistor can mimic neural and synaptic behaviors, bringing brain-inspired computing closer to reality.

Researchers at the AI company Anthropic say they have made a fundamental breakthrough in our understanding of exactly how large language models, the type of AI responsible for the current boom, work.

AI models have already been performing quite well on math benchmarks, but they're also making their presence felt in real life. Carnegie Mellon University Math professor Po-Shen Loh has said that GPT-4o,

Yann LeCun is both a giant in the field of AI but also a major skeptic of the ultimate potential of large language models. He is a major skeptic about large

Moore's Law was the gold standard for predicting technological progress for years. Introduced by Gordon Moore, co-founder of Intel, in 1965, it stated that the number of transistors on a chip would double every two years,

As AI companies race to improve the accuracy of large language models (LLMs) and apps built on top of them, a startup that has emerged as a key partner in

Teaching machines in the way that animal trainers mold the behavior of dogs or horses has been an important method for developing artificial intelligence and one that was recognized Wednesday with the

Encryption would normally be expected to slow down computation, but applying the tools of cryptography to "trick" an algorithm can actually make it work faster