Meta AI Introduces Brain2Qwerty: A New Deep Learning Model for Decoding Sentences from Brain Activity with EEG or MEG while Participants Typed Briefly Memorized Sentences on a QWERTY Keyboard

Brain-computer interfaces (BCIs) have seen significant progress in recent years, offering communication solutions for individuals with speech or motor impairments. However, most effective BCIs rely on invasive methods, such as implanted electrodes, which pose medical risks including infection and long-term maintenance issues. Non-invasive alternatives, particularly those based on electroencephalography (EEG), have been explored, but they […]

The post Meta AI Introduces Brain2Qwerty: A New Deep Learning Model for Decoding Sentences from Brain Activity with EEG or MEG while Participants Typed Briefly Memorized Sentences on a QWERTY Keyboard appeared first on MarkTechPost.

Fonte: https://www.marktechpost.com/2025/02/09/meta-ai-introduces-brain2qwerty-a-new-deep-learning-model-for-decoding-sentences-from-brain-activity-with-eeg-or-meg-while-participants-typed-briefly-memorized-sentences-on-a-qwerty-keyboard/

Parole chiave: sentences, eeg, qwerty, model, meta