While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

By tracking brain activity as people listened to a spoken story, researchers found that the brain builds meaning step by step ...

A study released this month by researchers from Stanford University, UC Berkeley and Samaya AI has found that large language models (LLMs) often fail to access and use relevant information given to ...

Discover what context graphs are, why they're revolutionizing AI systems, and who's building this trillion-dollar technology ...

Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single token (like “the” or “it”), whereas larger words may be represented by ...

The human mind is astonishing. We can think through the toughest problems and find the smartest solutions. We can compute answers to the toughest mathematical questions. And we can apply our creative ...

Analyses of self-paced reading times reveal that linguistic prediction deteriorates under limited executive resources, with this resource sensitivity becoming markedly more pronounced with advancing ...