In the following ten years, scientists anticipate that commercially viable AI gadgets may become available
Two new studies published in the journal Nature show how artificial intelligence in the form of high-performance brain-computer interfaces (called BCIs) implanted into the brain can decode brain signals and give voice to people who had lost their ability to communicate naturally.
More than 18 years ago, 30-year-old Ann Johnson, a mother, wife, and schoolteacher, suffered a brainstem stroke that left her severely paralyzed. Although she eventually regained her ability to move her facial muscles enough to laugh or cry, the muscles that would have allowed her to speak no longer worked.
Johnson contacted UCSF doctors in 2021 after reading about their work with Pancho, a paraplegic man who also suffered a brainstem stroke that rendered him mute. Pancho was the first person with paralysis to use BCI technology to show that it was possible to translate speech-brain impulses into complete words that would display as writing on a screen.
The UCSF team’s most recent study, which was released on August 23 in Nature, set out to accomplish something even more challenging: deciphering Johnson’s brain signals, which are produced when she attempts to speak, into audible speech, as well as the facial gestures that people make while conversing.
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