Brain2Qwerty v2

What it does

Brain2Qwerty v2 is a non-invasive brain-computer interface from Meta that decodes raw MEG brain signals into text. Using end-to-end deep learning and LLMs, it reaches up to 78% word accuracy without surgery.

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 v2, and our partner, the Basque Center on Cognition, Brain, and Language (BCBL), is releasing the v1 dataset . We believe this research has the potential to make a real difference for the…from ai.meta.com

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