New AI System Translates Human Brain Signals into Text With Up to 97% Accuracy

Making speech recognition seem almost like child's play: artificial intelligence (AI) systems that can translate our brain activity into fully formed text, without hearing a single word uttered.

It's not entirely science fiction. Brain-machine interfaces have evolved in leaps and bounds over recent decades, proceeding from animal models to human participants, and are, in fact, already attempting this very kind of thing

Just not with much accuracy yet, researchers from the University of California San Francisco explain in a new study.

To see if they could improve upon that, a team led by neurosurgeon Edward Chang of UCSF's Chang Lab used a new method to decode the electrocorticogram: the record of electrical impulses that occur during cortical activity, picked up by electrodes implanted in the brain.

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