--- title: Meta's Noninvasive Brain–Computer Interface Brain2Qwerty... description: Meta has open-sourced Brain2Qwerty v2, a noninvasive brain-computer interface that decodes typed sentences from brain signals captured via EEG or MEG. The... canonical: https://daily.dev/posts/meta-s-noninvasive-brain-computer-interface-brain2qwerty-achieves-61-accuracy-jfmnlcqch twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Meta's Noninvasive Brain–Computer Interface Brain2Qwerty Achieves 61% Accuracy | daily.dev og:description: Meta has open-sourced Brain2Qwerty v2, a noninvasive brain-computer interface that decodes typed sentences from brain signals captured via EEG or MEG. The... og:url: https://daily.dev/posts/meta-s-noninvasive-brain-computer-interface-brain2qwerty-achieves-61-accuracy-jfmnlcqch og:image: https://api.daily.dev/og/posts/jFMNlCQCH.png og:image:alt: Meta's Noninvasive Brain–Computer Interface Brain2Qwerty Achieves 61% Accuracy og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Meta's Noninvasive Brain–Computer Interface Brain2Qwerty Achieves 61% Accuracy **[InfoQ](https://daily.dev/sources/infoq)** · 3 min read · 0 upvotes · 0 comments ## Summary Meta has open-sourced Brain2Qwerty v2, a noninvasive brain-computer interface that decodes typed sentences from brain signals captured via EEG or MEG. The system uses a three-stage deep-learning pipeline — an encoder, aligner, and LLM — achieving 61% word accuracy on average, compared to 8% for other noninvasive methods and a 29% character error rate for MEG signals. The v2 improvement over v1 came primarily from 10x more training data rather than architectural changes, suggesting data scaling is the key bottleneck. Both the model code and training dataset are publicly available on GitHub and Hugging Face as part of Meta's Digital Brain Project, which aims to advance open neuroscience research for diagnosing and treating neurological disorders. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [From Brain Waves to Words: Brain2Qwerty Offers a New Path to Communication Without Surgery](https://daily.dev/posts/from-brain-waves-to-words-brain2qwerty-offers-a-new-path-to-communication-without-surgery-jwww7delg) · AI at Meta · 0 upvotes · 0 comments - [Meta's Brain2Qwerty reads typed sentences from the brain](https://daily.dev/posts/meta-s-brain2qwerty-reads-typed-sentences-from-the-brain-nd4sahuza) · The Next Web · 3 upvotes · 1 comments --- Tags: [#deep-learning](https://daily.dev/tags/deep-learning), [#neural-networks](https://daily.dev/tags/neural-networks), [#brain-computer-interface](https://daily.dev/tags/brain-computer-interface) [View this post on daily.dev](https://daily.dev/posts/meta-s-noninvasive-brain-computer-interface-brain2qwerty-achieves-61-accuracy-jfmnlcqch) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Meta's Noninvasive Brain–Computer Interface Brain2Qwerty Achieves 61% Accuracy","url":"https://daily.dev/posts/meta-s-noninvasive-brain-computer-interface-brain2qwerty-achieves-61-accuracy-jfmnlcqch","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/meta-s-noninvasive-brain-computer-interface-brain2qwerty-achieves-61-accuracy-jfmnlcqch"},"datePublished":"2026-07-14T13:08:04.431Z","dateModified":"2026-08-24T06:52:04.452Z","description":"Meta has open-sourced Brain2Qwerty v2, a noninvasive brain-computer interface that decodes typed sentences from brain signals captured via EEG or MEG. 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