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.
called a semantic decoder has the ability to translate a person's brain activity into a continuous stream of text, while listening to a story or imaging telling a story.
Brain activity is measured using a functional MRI scanner after extensive training of the decoder, in which the individual listens to hours of podcasts in the scanner.Ph.D. student Jerry Tang prepares to collect brain activity data in the Biomedical Imaging Center at The University of Texas at Austin. The researchers trained their semantic decoder on dozens of hours of brain activity data from participants, collected in an fMRI scanner.
A participant who listened to a speaker say that they do not have their driver's license yet had their thoughts translated as,"She has not even started to learn to drive yet." AI CHATBOT'S 'BEDSIDE MANNER' PREFERRED OVER CONVENTIONAL DOCTORS BY SHOCKING MARGIN, ACCORDING TO BLIND STUDY
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