Meta AI 推腦機接口模型Brain2Qwerty，可通過腦電波解碼打字內容
在腦 - 機接口（BCI）技術日益發展的今天，Meta AI 最新推出的 Brain2Qwerty 模型爲這一領域帶來了新的希望。BCI 旨在爲有言語或運動障礙的人羣提供溝通手段，但傳統的方法通常需要侵入性手術，比如植入電極，這不僅存在醫療風險，還需要長期維護。因此，研究者們開始探索非侵入性的替代方案，尤其是基於腦電圖(EEG)的方法。然而，EEG 技術面臨着信號分辨率低的問題，影響了其準確性。圖源備註:圖片由AI生成，圖片授權服務商MidjourneyBrain2Qwerty 的推出正是爲了解決這一難題。這款深度學習
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