Reading minds sounds like the stuff of fiction — but to speech therapists, it has a powerful therapeutic potential. And now a new machine learning model has brought this technology closer to reality than ever.
Using two different neural networks and intracranial electrodes, computer scientists and neuroscientists from UC San Francisco were able to translate neural activity into text with as low as three percent error.
Ready for your mind chip? Once they perfect this technology, wireless thought-to-text will be a software upgrade.
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