{"id":2016,"date":"2026-06-29T18:54:34","date_gmt":"2026-06-29T18:54:34","guid":{"rendered":"https:\/\/xrpfaucet.site\/?p=2016"},"modified":"2026-06-29T18:54:34","modified_gmt":"2026-06-29T18:54:34","slug":"meta-unveils-new-tech-that-uses-ai-to-translate-brain-activity-into-text-without-surgery","status":"publish","type":"post","link":"https:\/\/xrpfaucet.site\/?p=2016","title":{"rendered":"Meta Unveils New Tech That Uses AI to Translate Brain Activity Into Text\u2014Without Surgery"},"content":{"rendered":"<div class=\"crypto-article\">\n<p>\ud83d\udcf0 <strong>Exclusive Crypto News &#038; Analysis:<\/strong> Stay ahead with the latest developments in the cryptocurrency and blockchain space.<\/p>\n<p>\ud83d\udcc8 <strong>Market Update:<\/strong> Real-time price movements, technical analysis, and trading signals.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/img.decrypt.co\/insecure\/rs:fill:1024:512:1:0\/plain\/https:\/\/cdn.decrypt.co\/wp-content\/uploads\/2026\/02\/decrypt-style-brain-hand-gID_7.png@png\" \/><\/p>\n<div style=\"position:relative;overflow:visible;font-size:1.2em;line-height:1.58\">\n<div class=\"pt-8 pb-10 border-t border-b border-decryptGridline \">\n<h4 class=\"sc-b2a202e4-4 bNRGqr gg-dark:text-white\" color=\"#333\">In brief<\/h4>\n<ul>\n<li class=\"font-meta-serif-pro font-normal text-lg md:text-xl md:leading-9 tracking-px text-body gg-dark:text-neutral-100\">Meta introduced Brain2Qwerty v2, a non-invasive AI system that decodes brain activity into text.<\/li>\n<li class=\"font-meta-serif-pro font-normal text-lg md:text-xl md:leading-9 tracking-px text-body gg-dark:text-neutral-100\">The model achieved 61% average word accuracy, compared with about 8% for previous non-invasive methods.<\/li>\n<li class=\"font-meta-serif-pro font-normal text-lg md:text-xl md:leading-9 tracking-px text-body gg-dark:text-neutral-100\">Meta released the training code for Brain2Qwerty v1 and v2, while its research partner is releasing the v1 dataset.<\/li>\n<\/ul>\n<\/div>\n<p><iframe title=\"Spotify Embed: The Decrypt News roundup with TylerD - June 29th\" style=\"border-radius:12px\" width=\"100%\" height=\"152\" frameborder=\"0\" allowfullscreen=\"\" allow=\"autoplay; clipboard-write; encrypted-media; fullscreen; picture-in-picture\" loading=\"lazy\" src=\"https:\/\/open.spotify.com\/embed\/episode\/4XjS5WE48kuP5jg6PishSJ?utm_source=oembed\"><\/iframe><\/p>\n<p class=\"font-meta-serif-pro scene:font-noto-sans scene:text-base scene:md:text-lg font-normal text-lg md:text-xl md:leading-9 tracking-px text-body gg-dark:text-neutral-100\">Meta on Monday introduced <a href=\"https:\/\/ai.meta.com\/blog\/brain2qwerty-brain-ai-human-communication\/\" target=\"_blank\" rel=\"noopener nofollow external\" class=\"sc-adb616fe-0 bJsyml\">Brain2Qwerty v2<\/a>an AI system that translates brain activity into text using non-invasive brain recordings. The company said the research is intended to help people who have lost the ability to communicate because of brain lesions.<\/p>\n<p class=\"font-meta-serif-pro scene:font-noto-sans scene:text-base scene:md:text-lg font-normal text-lg md:text-xl md:leading-9 tracking-px text-body gg-dark:text-neutral-100\">The system records brain activity using a helmet-like magnetoencephalography (MEG) scanner, a non-invasive brain imaging device commonly used in neuroscience research. It then feeds those raw neural signals into an end-to-end AI model that reconstructs the sentences a person is trying to type. Meta said it further improves accuracy by fine-tuning large language models on neural data, allowing the system to use semantic context when interpreting noisy brain recordings.<\/p>\n<p class=\"font-meta-serif-pro scene:font-noto-sans scene:text-base scene:md:text-lg font-normal text-lg md:text-xl md:leading-9 tracking-px text-body gg-dark:text-neutral-100\">\u201cWe trained Brain2Qwerty v2 on approximately 22,000 sentences from nine volunteer participants, each recorded for 10 hours wearing a magnetoencephalography (MEG) device while actively typing,\u201d Meta wrote. \u201cInstead of relying on hand-crafted pipelines to detect neural events, we use end-to-end deep learning to decode directly from raw brain signals.\u201d<\/p>\n<p><iframe loading=\"lazy\" style=\"border:0\" src=\"https:\/\/myriad.markets\/embed\/market\/who-ipos-first-d112e68a-b7d1-4991-9f77-ca2db82cdc99\" width=\"100%\" height=\"415px\"><span style=\"display:inline-block;width:0px;overflow:hidden;line-height:0\" data-mce-type=\"bookmark\" class=\"mce_SELRES_start\">\ufeff<\/span><\/iframe><\/p>\n<p class=\"font-meta-serif-pro scene:font-noto-sans scene:text-base scene:md:text-lg font-normal text-lg md:text-xl md:leading-9 tracking-px text-body gg-dark:text-neutral-100\">Meta said Brain2Qwerty achieved a 61% average word accuracy, compared with roughly 8% for previous non-invasive methods. The company is releasing the system&#8217;s code and dataset as part of its Digital Brain Project, which also includes a $5 million fund to support open neuroscience datasets.<\/p>\n<p class=\"font-meta-serif-pro scene:font-noto-sans scene:text-base scene:md:text-lg font-normal text-lg md:text-xl md:leading-9 tracking-px text-body gg-dark:text-neutral-100\">Meta also said decoding accuracy improved as the amount of training data increased, suggesting additional data could further improve performance. The company said <a href=\"https:\/\/decrypt.co\/resources\/what-are-ai-agents-how-autonomous-programs-are-transforming-cryptocurrency\" target=\"_blank\" rel=\"noopener\" class=\"sc-adb616fe-0 bJsyml\">AI agents<\/a> explored possible optimizations for the decoding pipeline before engineers selected the final training configuration.<\/p>\n<p class=\"font-meta-serif-pro scene:font-noto-sans scene:text-base scene:md:text-lg font-normal text-lg md:text-xl md:leading-9 tracking-px text-body gg-dark:text-neutral-100\">In an accompanying <a href=\"https:\/\/www.nature.com\/articles\/s41593-026-02303-2\" target=\"_blank\" rel=\"noopener\" class=\"sc-adb616fe-0 bJsyml\">paper<\/a> published in Nature Neuroscience, Meta researchers argued that while AI has significantly improved brain-to-text decoding, most high-performing brain-computer interfaces still depend on surgically implanted electrodes, making them difficult to scale because of the risks tied to brain surgery and the challenges of <a href=\"https:\/\/decrypt.co\/230021\/neuralink-implant-patient-gaming-sets-bci-record\" target=\"_blank\" rel=\"noopener\" class=\"sc-adb616fe-0 bJsyml\">maintaining<\/a> implants over time.<\/p>\n<p class=\"font-meta-serif-pro scene:font-noto-sans scene:text-base scene:md:text-lg font-normal text-lg md:text-xl md:leading-9 tracking-px text-body gg-dark:text-neutral-100\">Meta said Brain2Qwerty v2 approaches levels of accuracy previously achieved only with techniques requiring brain surgery. The company said its non-invasive approach could help bridge the gap between invasive neuroprosthetics and communication systems that do not require surgery.<\/p>\n<p class=\"font-meta-serif-pro scene:font-noto-sans scene:text-base scene:md:text-lg font-normal text-lg md:text-xl md:leading-9 tracking-px text-body gg-dark:text-neutral-100\">\u201cOur hope is that this work, done in the open, advances neuroscience to identify, diagnose, and treat neurological disorders faster than in siloes,\u201d Meta wrote.<\/p>\n<p class=\"font-meta-serif-pro scene:font-noto-sans scene:text-base scene:md:text-lg font-normal text-lg md:text-xl md:leading-9 tracking-px text-body gg-dark:text-neutral-100\">The announcement comes as brain-computer interface <a href=\"https:\/\/decrypt.co\/341655\/why-billionaires-betting-brain-computer-interfaces\" target=\"_blank\" rel=\"noopener\" class=\"sc-adb616fe-0 bJsyml\">research<\/a> accelerates, including by Elon Musk\u2019s Neuralink and Merge Labs, backed by OpenAI CEO Sam Altman, developing technology to help restore communication for people with neurological disorders.<\/p>\n<p class=\"font-meta-serif-pro scene:font-noto-sans scene:text-base scene:md:text-lg font-normal text-lg md:text-xl md:leading-9 tracking-px text-body gg-dark:text-neutral-100\">While companies such as <a href=\"https:\/\/decrypt.co\/245875\/neuralink-update-alex-counterstrike-cad-software-brain-implant\" target=\"_blank\" rel=\"noopener\" class=\"sc-adb616fe-0 bJsyml\">Neuralink<\/a> and <a href=\"https:\/\/decrypt.co\/249703\/new-brain-implant-allows-man-with-als-to-control-alexa-with-his-mind\" target=\"_blank\" rel=\"noopener\" class=\"sc-adb616fe-0 bJsyml\">Synchronous<\/a> are pursuing implanted interfaces that require surgery, a growing number of researchers and startups are using AI to improve the performance of non-invasive systems. In September 2024, startup <a href=\"https:\/\/decrypt.co\/251079\/neurables-headphones-track-brain-activity-improve-focus-fight-burnout\" target=\"_blank\" rel=\"noopener\" class=\"sc-adb616fe-0 bJsyml\">Neurable<\/a> introduced AI-powered EEG headphones designed to monitor focus and cognitive fatigue. A year later, MIT spinout <a href=\"https:\/\/decrypt.co\/338527\/near-telepathic-wearable-communicate-silently-devices\" target=\"_blank\" rel=\"noopener\" class=\"sc-adb616fe-0 bJsyml\">AlterEgo<\/a> unveiled a wearable that converts silent neuromuscular signals from the face and throat into text and commands, positioning it as a practical alternative to implanted brain-computer interfaces.<\/p>\n<p class=\"font-meta-serif-pro scene:font-noto-sans scene:text-base scene:md:text-lg font-normal text-lg md:text-xl md:leading-9 tracking-px text-body gg-dark:text-neutral-100\">Meta did not immediately respond to a request for comment by <i>Decrypt.<\/i><\/p>\n<div class=\"my-4 border-b border-decryptGridline\">\n<div class=\"text-start p-8 md:py-12 md:px-12 max-w-prose relative\"><span class=\"border-t-4 border-l-4 w-4 h-4 md:border-t-(6px) md:border-l-(6px) md:w-6 md:h-6 border-decryptPurple dark:border-decryptNeon gg-dark:border-cc-pink-2 absolute top-4 left-4 md:top-6 md:left-6\"\/><span class=\"border-t-4 border-l-4 w-4 h-4 md:border-t-(6px) md:border-l-(6px) md:w-6 md:h-6 border-decryptPurple dark:border-decryptNeon gg-dark:border-cc-pink-2 absolute rotate-180 bottom-4 right-4 md:bottom-6 md:right-6\"\/><\/p>\n<h3 class=\"font-akzidenz-grotesk font-bold text-xl md:text-3xl md:text-center gg-dark:text-white\">Daily Debrief<!-- --> Newsletter<\/h3>\n<p>Start every day with the top news stories right now, plus original features, a podcast, videos and more.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p>\ud83d\udca1 <strong>Pro Tip:<\/strong> Bookmark our site for daily insights, market predictions, and expert trading strategies.<\/p>\n<p>\ud83d\udd17 <strong>Explore More:<\/strong> Check our sections for in-depth guides, exchange reviews, and blockchain technology deep-dives.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\ud83d\udcf0 Exclusive Crypto News &#038; Analysis: Stay ahead with the latest developments in the cryptocurrency and blockchain space. \ud83d\udcc8 Market Update: Real-time price movements, technical analysis, and trading signals. In brief Meta introduced Brain2Qwerty v2, a non-invasive AI system that decodes brain activity into text. The model achieved 61% average word accuracy, compared with about &hellip;<\/p>\n","protected":false},"author":1,"featured_media":2017,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"class_list":["post-2016","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/xrpfaucet.site\/index.php?rest_route=\/wp\/v2\/posts\/2016","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/xrpfaucet.site\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/xrpfaucet.site\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/xrpfaucet.site\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/xrpfaucet.site\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2016"}],"version-history":[{"count":0,"href":"https:\/\/xrpfaucet.site\/index.php?rest_route=\/wp\/v2\/posts\/2016\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/xrpfaucet.site\/index.php?rest_route=\/wp\/v2\/media\/2017"}],"wp:attachment":[{"href":"https:\/\/xrpfaucet.site\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2016"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/xrpfaucet.site\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2016"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/xrpfaucet.site\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2016"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}