Meta’s non-invasive brain scanner decodes typed sentences

Meta researchers developed Brain2Qwerty, an AI system that reconstructs typed sentences from non-invasive brain scans using MEG and EEG. The model achieved a 32% character error rate on MEG data, outperforming prior methods. Meta open-sourced the code and models to accelerate research in brain-computer interfaces.