{"id":176957,"date":"2023-10-19T06:33:57","date_gmt":"2023-10-19T01:03:57","guid":{"rendered":"https:\/\/dripp.zone\/news\/?p=176957"},"modified":"2023-10-19T06:33:57","modified_gmt":"2023-10-19T01:03:57","slug":"meta-makes-progress-towards-ai-system-that-decodes-images-from-brain-activity-crypto-news","status":"publish","type":"post","link":"https:\/\/dripp.zone\/news\/meta-makes-progress-towards-ai-system-that-decodes-images-from-brain-activity-crypto-news\/","title":{"rendered":"Meta makes progress towards AI system that decodes images from brain activity – Crypto News"},"content":{"rendered":"

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The new system combines<\/a> a non-invasive brain scanning method called magnetoencephalography (MEG) with an artificial intelligence system.<\/p>\n

A typical MEG imaging machine. Image public domain, source: NIMH\/Wikipedia<\/a><\/figcaption><\/figure>\n

This work leverages the company\u2019s previous work decoding<\/a> letters, words, and audio spectrograms from intracranial recordings. <\/p>\n

According to a Meta blog post, <\/p>\n

\u201cThis AI system can be deployed in real time to reconstruct, from brain activity, the images perceived and processed by the brain at each instant.\u201d<\/p><\/blockquote>\n

A post from the AI at Meta account on X, formerly Twitter, showcased the real-time capabilities of the model through a demonstration depicting what an individual was looking at and how the AI decoded their MEG-generated brain scans.<\/p>\n

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Today we’re sharing new research that brings us one step closer to real-time decoding of image perception from brain activity.<\/p>\n

Using MEG, this AI system can decode the unfolding of visual representations in the brain with an unprecedented temporal resolution.<\/p>\n

More details \u2b07\ufe0f<\/p>\n

\u2014 AI at Meta (@AIatMeta) October 18, 2023<\/a><\/p><\/blockquote>\n

It\u2019s worth noting that, despite the progress shown, this experimental AI system requires pre-training on an individual\u2019s brainwaves. In essence, rather than training an AI system to read minds, the developers train the system to interpret specific brain waves as specific images. There\u2019s no indication that this system could produce imagery for thoughts unrelated to pictures the model was trained on. <\/p>\n

However, Meta AI also notes that this is early work and that further progress is expected. As such, the team has specifically noted that this research is part of the company\u2019s ongoing initiative to unravel the mysteries of the brain. <\/p>\n

Related: <\/em><\/strong>Neuralink gets FDA approval for \u2018in-human\u2019 trials of its brain-computer interface<\/em><\/strong><\/a><\/p>\n

And, while there\u2019s no current reason to believe a system such as this would be capable of invading someone\u2019s privacy, under the current technological limitations, there is reason to believe that it could provide a quality of life upgrade for some individuals. <\/p>\n

\u201cWe’re excited about this research,\u201d read a post by the Meta AI team on X, adding that they \u201chope that one day it may provide a stepping stone toward non-invasive brain-computer interfaces in a clinical setting that could help people who have lost their ability to speak.\u201d<\/p>\n

Meta AI unveiled a new artificial intelligence (AI) system designed to decode imagery from human brain waves on Oct. 18 via a blog post.\u00a0<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

The new system combines a non-invasive brain scanning method called magnetoencephalography (MEG) with an artificial intelligence system. A typical MEG imaging machine. Image public domain, source: NIMH\/Wikipedia This work leverages the company\u2019s previous work decoding letters, words, and audio spectrograms from intracranial recordings. According to a Meta blog post, \u201cThis AI system can be deployed […]<\/p>\n","protected":false},"author":2,"featured_media":176958,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[235,203,210,234,231,232,237,238,236,233],"class_list":["post-176957","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blockchain","tag-bitcoin","tag-crypto-currency","tag-elon-musk","tag-ethereum","tag-hyperledger","tag-ibm","tag-mining","tag-nodes","tag-spacex","tag-tesla"],"_links":{"self":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts\/176957","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/comments?post=176957"}],"version-history":[{"count":2,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts\/176957\/revisions"}],"predecessor-version":[{"id":176960,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts\/176957\/revisions\/176960"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/media\/176958"}],"wp:attachment":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/media?parent=176957"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/categories?post=176957"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/tags?post=176957"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}