Scientists at the University of Texas at Austin have created a "semantic brain decoder" to guess someone's thoughts based on brain activity. During tests, it captured the gist of what someone was ...

Scientists have made new improvements to a "brain decoder" that uses artificial intelligence (AI) to convert thoughts into text. Their new converter algorithm can quickly train an existing decoder on ...

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 ...

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 ...

Laura holds a Master's in Experimental Neuroscience and a Bachelor's in Biology from Imperial College London. Her areas of expertise include health, medicine, psychology, and neuroscience.View full ...

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.

Scientists are making significant strides forward in brain-computer interface (BCI) technology, and a newly developed system can translate our thoughts into text or sound. It's essentially an inner ...

Artificial intelligence researchers from Meta Platforms Inc. have made another key breakthrough, designing an algorithm that can replicate the process of transforming brain activity into the images we ...

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 ...