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Meta发布Brain2Qwerty v2:非侵入式脑机接口实现实时句子解码

原标题:Last year, we introduced Brain2Qwerty v1, research that uses AI to decode brain activity into text without any surgical implant. Now we're sharing the next step: Brain2Qwerty v2, the highest-performin

AI at Meta Blog一手来源研究质量 85

AI 摘要

Meta AI 发布了 Brain2Qwerty v2,这是一种无需手术植入即可从非侵入性脑信号中实时解码句子的 AI 系统,词准确率达 61%,最佳参与者达 78%,显著优于其他非侵入方法。Meta 开源了训练代码,合作伙伴 BCBL 发布了数据集,旨在帮助因脑损伤而无法交流的患者,并推动神经科学开放研究。

以上摘要由 AI 生成,可能存在误差。事实请以原文为准。

正文节选

Last year, we introduced Brain2Qwerty v1, research that uses AI to decode brain activity into text without any surgical implant. Now we're sharing the next step: Brain2Qwerty v2, the highest-performing end-to-end pipeline capable of real-time sentence decoding from non-invasive brain recordings, approaching levels of accuracy previously exclusive to techniques that require brain surgery. To help accelerate neuroscience breakthroughs, we're releasing the full training code for Brain2Qwerty v1 and


发布时间:
抓取时间:2026-08-03 16:12
来源机构:Meta
阅读原文ai.meta.com