{"id":175931,"date":"2023-11-13T04:26:36","date_gmt":"2023-11-13T10:26:36","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/11\/twice-as-powerful-next-gen-ai-chip-mimics-human-brain-for-power-savings"},"modified":"2023-11-13T04:26:36","modified_gmt":"2023-11-13T10:26:36","slug":"twice-as-powerful-next-gen-ai-chip-mimics-human-brain-for-power-savings","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/11\/twice-as-powerful-next-gen-ai-chip-mimics-human-brain-for-power-savings","title":{"rendered":"Twice As Powerful: Next-Gen AI Chip Mimics Human Brain for Power Savings"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/twice-as-powerful-next-gen-ai-chip-mimics-human-brain-for-power-savings2.jpg\"><\/a><\/p>\n<p><strong>Hussam Amrouch has developed an AI-ready architecture that is twice as powerful as comparable in-memory computing approaches. As reported in the journal <em>Nature<\/em>, 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.<\/strong><\/p>\n<p>The basic idea is simple: unlike previous chips, where only calculations were carried out on transistors, they are now the location of data storage as well. That saves time and energy.<\/p>\n<p>\u201cAs a result, the performance of the chips is also boosted,\u201d says Hussam Amrouch, a professor of AI processor design at the Technical University of Munich (TUM).<\/p>\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, 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 [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[41,6],"tags":[],"class_list":["post-175931","post","type-post","status-publish","format-standard","hentry","category-information-science","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/175931","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=175931"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/175931\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=175931"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=175931"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=175931"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}