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Meta's Brain2Qwerty v2 decodes brain signals into text in real-time without surgery

By

alok-g

4h ago· 3 min readen

Summary

Meta has released Brain2Qwerty v2, an AI-powered system that decodes brain activity into text in real-time using non-invasive recordings, achieving accuracy levels previously only possible with surgical implants. The system uses MEG and EEG to translate brain signals into text without requiring surgery. Meta is releasing the full training code for both v1 and v2 to accelerate neuroscience research, in partnership with the Basque Center on Cognition, Brain, and Language (BCBL).

Source

Hacker NewsMeta's Brain2Qwerty v2 decodes brain signals into text in real-time without surgeryai.meta.com

Key quotes

· 3 pulled
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
Snippet from the RSS feed
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 dec

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