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 ...

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 ...

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 ...

A "brain decoder" that uses artificial intelligence to translate thoughts into written text has undergone some new improvements. Scientists came up with a converter algorithm that can quickly train ...

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 ...

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.

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 ...

New technologies are extracting detailed data from our brains that reveal what we know, have seen or have dreamed. Some of the signals could even fly a plane A pilot sits in the cockpit of a Diamond ...