non-invasive

This paper presents Brain2Qwerty v2, an AI model that accurately decodes natural sentences from non-invasive magnetoencephalography brain recordings with a 39% word error rate, demonstrating that data scaling can help bridge performance gaps with invasive methods.

Chinese company BrainCo demonstrates advanced bionic prosthetics with near-real-time response, requiring no surgical implants, and reduces costs by 85% compared to traditional prosthetics.

This paper introduces a multi-feature fusion framework for semantic reconstruction from non-invasive brain recordings, combining static lexical (Word2Vec) and dynamic contextual (GPT) representations via cross-attention, achieving state-of-the-art performance in brain-to-text decoding.

Meta发布了Brain2Qwerty v2，一种非侵入式脑机接口，能够实时解码句子，标志着脑机接口走向现实。

Meta open-sourced Brain2Qwerty v2, a non-invasive brain-to-text system using MEG signals and deep learning, achieving up to 78% word accuracy.

A new non-invasive method translates brain waves into words, offering a communication pathway without the need for surgery.

Brain2Qwerty is a non-invasive brain-computer interface that decodes brain waves into text, enabling communication without surgery.

Meta has improved Brain2QWERTY, a non-invasive system using MEG and EEG to decode brain activity into text, enabling typing.