Basque Center on Cognition, Brain and Language

Meta AI released Brain2Qwerty v2, a non-invasive brain-to-text pipeline that decodes typed sentences from magnetoencephalography (MEG) signals with 61% word accuracy, up from 8% for prior methods. The…

Meta's FAIR lab, in collaboration with Spain's BCBL, unveiled Brain2Qwerty, a non-invasive AI system that decodes typed sentences from brain activity with up to 80% character accuracy using magnetoenc…

Meta AI's Brain2Qwerty system decodes brain signals into text using non-invasive MEG sensors, achieving a 32% character error rate, but the technology is not yet real-time or commercially viable. The …