Stanford University scientists have successfully decoded inner speech, or the silent thoughts in a person’s head, with an accuracy rate of up to 74%. This advancement could advance how people with ...

The work relies in part on a transformer model, similar to the ones that power ChatGPT. Alex Huth (left), Shailee Jain (center) and Jerry Tang (right) prepare to collect brain activity data in the ...

Researchers at the University of Texas at Austin on Monday unveiled an artificial intelligence-powered method to decode brain activity as a person listens to a story or imagines telling a story.

The Norman Police Department found an unlikely ally to help it process raw data, the University of Oklahoma’s Computer Science Department. The OU School of Computer Science has worked alongside the ...