Brain2Qwerty v2 Achieves 61% Word Accuracy in Non-Invasive Brain-to-Text Decoding

Researchers have released Brain2Qwerty v2, a non-invasive AI pipeline that decodes real-time sentences from magnetoencephalography (MEG) recordings without surgical implants. The system achieves a 61% word accuracy rate overall and up to 78% for top performers, significantly outperforming previous non-invasive methods.