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Morning Edition · Friday, July 17, 2026Published at 1:29 AM EDT · New York
Meta's Brain2Qwerty v2 Decodes Typed Sentences From Brain Scans at 61% Word Accuracy
The non-invasive pipeline reads a magnetoencephalography signal and reconstructs text without surgery, up from about 48% a year earlier.
Meta detailed Brain2Qwerty v2, a non-invasive brain-to-text pipeline that reconstructs typed sentences from magnetoencephalography (MEG) recordings, in a research post. The system reaches an average word accuracy of 61%, rising to 78% for t…
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