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Meta unveiled Brain2Qwerty v2, a non-invasive system that reads brain signals from a MEG scanner and reconstructs typed sentences. The system achieved 61 percent average word accuracy, rising to 78 percent for the best participant. Meta trained it on 22,000 sentences from nine volunteers and open-sourced the code and dataset.
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