After 150 years of mystery, neuroscience has finally cracked the code on how language works in the brain—and the answer is surprisingly elegant.

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data ...

Two researchers at Stanford University suggest in a new preprint research paper that repeatedly optimizing large language ...

The self-play framework uses a 'Challenger' and a 'Reasoner' to create a self-improving loop, pushing the boundaries of AI ...

SLMs targeted at specific workloads could change the relationship between edge devices and the cloud, creating new ...

Imagine you're watching a movie, in which a character puts a chocolate bar in a box, closes the box and leaves the room. Another person, also in the room, moves the bar from a box to a desk drawer.

When Meta began scaling its large language models, it quickly became clear that the company’s existing AI infrastructure ...

Since launching earlier this year, GEM has helped deliver about a 5% increase in ad conversions on Instagram and a 3% increase on Facebook Feed in Q2 ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Anthropic’s Claude AI shows early signs of self-awareness in a groundbreaking study, raising urgent questions about ...