Scientists have developed a non-invasive AI system focused on translating a person's brain activity into a stream of text.
The system, called a semantic decoder, could ultimately benefit patients who have lost their ability to physically communicate.
Alex Huth , Shailee Jain and Jerry Tang prepare 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.
The study's participants trained the decoder by listening to several hours of podcasts within an fMRI scanner, which is a large piece of machinery that measures brain activity. The system requires no surgical implants of any kind. For instance, when a participant heard the words "I don't have my driver's license yet" during an experiment, the thoughts were translated to, "She has not even started to learn to drive yet."
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