From Brain Waves to Words: Brain2Qwerty Offers a New Path to Communication Without Surgery

Meta AI Blog

Brain2Qwerty v2 decodes sentences from non-invasive brain recordings using AI trained on neural signals, without requiring surgical implants. The system achieved 61% word accuracy across nine participants wearing MEG devices while typing, with the best participant reaching 78% accuracy. The researchers released full training code and datasets to enable broader development of non-invasive brain-computer interfaces for people with communication disorders.