SEC.03 / LLM Research
Meta's Brain2Qwerty v2 Decodes Typed Sentences from Non-Invasive MEG Recordings
Meta's FAIR lab and academic partners published Brain2Qwerty v2, a non-invasive system that decodes typed sentences from MEG signals, reaching 78% word accuracy for its best participant. Here's how it works and why it matters for the future of AI and human communication.