{"id":242160,"date":"2026-08-04T01:23:48","date_gmt":"2026-08-04T06:23:48","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2026\/08\/noninvasive-ai-based-system-translates-brain-signals-into-written-text"},"modified":"2026-08-04T01:23:48","modified_gmt":"2026-08-04T06:23:48","slug":"noninvasive-ai-based-system-translates-brain-signals-into-written-text","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2026\/08\/noninvasive-ai-based-system-translates-brain-signals-into-written-text","title":{"rendered":"Noninvasive AI-based system translates brain signals into written text"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/noninvasive-ai-based-system-translates-brain-signals-into-written-text2.jpg\"><\/a><\/p>\n<p>Some physical injuries and neurological conditions can temporarily or permanently impair movement, leaving some people unable to speak, type on keyboards or use electronic devices. Brain-computer interfaces (BCIs), systems that can decode brain activity patterns and convert them into computer commands or written text, could be of great value for paralyzed patients.<\/p>\n<p>Despite their potential, most of the best-performing BCIs developed to date require patients to undergo invasive surgical procedures. These systems typically rely on small sensors that need to be implanted on or within the brain and can detect electrical signals associated with neural activity.<\/p>\n<p>Researchers at Meta artificial intelligence (AI), Universit\u00e9 PSL and Hospital Foundation Adolphe de Rothschild recently introduced a noninvasive brain activity-to-text approach that does not require surgical procedures. Their proposed approach, <a href=\"https:\/\/www.nature.com\/articles\/s41593-026-02303-2\" target=\"_blank\">presented<\/a> in <i>Nature Neuroscience<\/i>, combines a new deep learning algorithm with electroencephalography (EEG) or magnetoencephalography (MEG) recordings.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Some physical injuries and neurological conditions can temporarily or permanently impair movement, leaving some people unable to speak, type on keyboards or use electronic devices. Brain-computer interfaces (BCIs), systems that can decode brain activity patterns and convert them into computer commands or written text, could be of great value for paralyzed patients. Despite their potential, [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,41,6],"tags":[],"class_list":["post-242160","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-information-science","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/242160","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=242160"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/242160\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=242160"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=242160"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=242160"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}