•1 min read•from InfoQ
Meta's Noninvasive Brain–Computer Interface Brain2Qwerty Achieves 61% Accuracy
Meta recently open-sourced Brain2Qwerty v2, a noninvasive Brain–Computer Interface (BCI) that can decode sentences from thoughts using electroencephalography (EEG) or magnetoencephalography (MEG) signals from the brain. In evaluations, the system achieved a word accuracy rate 61% on average, compared to 8% for other non-invasive methods.
By Anthony AlfordWant to read more?
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