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

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 ...

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 ...

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The theory, which claims to work best with babies 3 months old or younger, says there are five universal sounds that babies make right before they start to cry, getting louder as they go. The sounds, ...

An artificial intelligence system developed at the University of Texas is able to translate a subject's brain activity into a stream of text after storytelling.

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 ...