The more closely scientists listen to the brain during conversation, the more its activity patterns resemble the statistical ...

For more than a decade, Alexander Huth from the University of Texas at Austin had been striving to build a language decoder—a tool that could extract a person’s thoughts noninvasively from brain ...

A new study reveals that the human brain processes spoken language in a sequence that closely mirrors the layered ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

From large language models to whole brain emulation, two rival visions are shaping the next era of artificial intelligence.

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today. Large language ...

Artificial intelligence has grown so large and power hungry that even cutting edge data centers strain to keep up, yet a technique borrowed from quantum physics is starting to carve these systems down ...

The human brain processes spoken language in a step-by-step sequence that closely matches how large language models transform ...