Scientists at the University of Texas at Austin have created a “semantic brain decoder” to guess someone’s thoughts based on brain activity. AUSTIN, Texas — Scientists at the University of Texas at ...

Scientists have found a way to decode a stream of words in the brain using MRI scans and artificial intelligence. The system reconstructs the gist of what a person hears or imagines, rather than ...

UT Austin researchers created a "semantic brain decoder" that can predict thoughts when participants listen to a podcast or imagine telling a story. The decoder did not translate thoughts ...

A new AI-based system called a semantic decoder can translate a person's brain activity -- while listening to a story or silently imagining telling a story -- into a continuous stream of text. Unlike ...

This video still shows a view of one person's cerebral cortex. Pink areas have above-average activity; blue areas have below-average activity. (Jerry Tang and Alexander Huth) Scientists have found a ...

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 ...