# Meta's Brain2Qwerty v2 Decodes Typed Sentences From Brain Scans at 61% Word Accuracy

The non-invasive pipeline reads magnetoencephalography signals, up from 8% for prior surgery-free methods, but still needs a shielded room and a stationary 306-sensor scanner.

- Published: 2026-07-12T05:29:34.912Z
- Canonical: https://polylog.news/ai/2026-07-12/meta-s-brain2qwerty-v2-decodes-typed-sentences-from-brain-sc
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [Meta AI](https://ai.meta.com/blog/brain2qwerty-brain-ai-human-communication/)

Meta's fundamental AI research group detailed Brain2Qwerty v2, a system that decodes typed sentences from non-invasive magnetoencephalography (MEG, a method that measures the magnetic fields produced by neural activity) with no surgery. The…

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