Morning Edition · Saturday, July 25, 2026Published at 1:43 AM EDT · New York

Meta's Brain2Qwerty Decodes Typed Sentences From Non-Invasive Brain Scans at 61 Percent Word Accuracy

The second version reads magnetoencephalography signals as volunteers type, a large improvement over prior surgery-free methods, but the scanner is not wearable and error rates remain too high for daily use.

Meta has detailed Brain2Qwerty, a deep-learning pipeline that decodes typed sentences from non-invasive brain recordings while participants type memorized sentences on a keyboard. The system reads magnetoencephalography (MEG), which measure…