{"id":175076,"date":"2023-10-27T09:23:13","date_gmt":"2023-10-27T14:23:13","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/10\/ai-ready-architecture-doubles-power-with-fefets"},"modified":"2023-10-27T09:23:13","modified_gmt":"2023-10-27T14:23:13","slug":"ai-ready-architecture-doubles-power-with-fefets","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/10\/ai-ready-architecture-doubles-power-with-fefets","title":{"rendered":"AI-ready architecture doubles power with FeFETs"},"content":{"rendered":"<p><a class=\"blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/ai-ready-architecture-doubles-power-with-fefets.jpg\"><\/a><\/p>\n<p>Hussam Amrouch has developed an AI-ready architecture that is twice as powerful as comparable in-memory computing approaches. As reported in the journal Nature Communications (\u201cFirst demonstration of in-memory computing crossbar using multi-level Cell FeFET\u201d), the professor at the Technical University of Munich (TUM) applies a new computational paradigm using special circuits known as ferroelectric field effect transistors (FeFETs). Within a few years, this could prove useful for generative AI, deep learning algorithms and robotic applications.<\/p>\n<li>The new architecture enables both data storage and calculations to be carried out on the same transistors, boosting efficiency and reducing heat.<\/li>\n<li>The chip performs at 885 TOPS\/W, significantly outperforming current CMOS chips which operate in the range of 10\u201320 TOPS\/W, making it ideal for applications like real-time drone calculations, generative AI, and deep learning algorithms.<\/li>\n","protected":false},"excerpt":{"rendered":"<p>Hussam Amrouch has developed an AI-ready architecture that is twice as powerful as comparable in-memory computing approaches. As reported in the journal Nature Communications (\u201cFirst demonstration of in-memory computing crossbar using multi-level Cell FeFET\u201d), the professor at the Technical University of Munich (TUM) applies a new computational paradigm using special circuits known as ferroelectric field [\u2026]<\/p>\n","protected":false},"author":359,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1488,41,6],"tags":[],"class_list":["post-175076","post","type-post","status-publish","format-standard","hentry","category-drones","category-information-science","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/175076","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\/359"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=175076"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/175076\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=175076"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=175076"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=175076"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}