On a recent Sunday morning, I found myself in a pair of ill-fitting scrubs, lying flat on my back in the claustrophobic confines of an fMRI machine at a research facility in Austin, Texas. “The things I do for television,” I thought.
Anyone who has had an MRI or fMRI scan will tell you how noisy it is — electric currents swirl creating a powerful magnetic field that produces detailed scans of your brain. On this occasion, however, I could barely hear the loud cranking of the mechanical magnets, I was given a pair of specialized earphones that began playing segments from The Wizard of Oz audiobook.
An artificial intelligence model analyzed his brain and the audio he was listening to and, over time, was eventually able to predict the words he was hearing just by watching his brain. Huth listened to the same audio but because the AI model had been trained on his brain it was accurately able to predict parts of the audio he was listening to.
“Ours is the first demonstration that we can get this level of accuracy without brain surgery. So we think that this is kind of step one along this road to actually helping people who are unable to speak without them needing to get neurosurgery,” he said.
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