{"id":194794,"date":"2024-08-19T11:24:58","date_gmt":"2024-08-19T16:24:58","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2024\/08\/engineers-develop-magnetic-tunnel-junction-based-device-to-make-ai-more-energy-efficient"},"modified":"2024-08-19T11:24:58","modified_gmt":"2024-08-19T16:24:58","slug":"engineers-develop-magnetic-tunnel-junction-based-device-to-make-ai-more-energy-efficient","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2024\/08\/engineers-develop-magnetic-tunnel-junction-based-device-to-make-ai-more-energy-efficient","title":{"rendered":"Engineers develop Magnetic Tunnel Junction\u2013based Device to make AI more Energy Efficient"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/engineers-develop-magnetic-tunnel-junction-based-device-to-make-ai-more-energy-efficient3.jpg\"><\/a><\/p>\n<p>Engineering researchers at the University of Minnesota Twin Cities have demonstrated a state-of-the-art hardware device that could reduce energy consumption for artificial intelligent (AI) computing applications by a factor of at least 1,000.<\/p>\n<p>The research is published in npj Unconventional Computing titled \u201cExperimental demonstration of magnetic tunnel junction-based computational random-access memory.\u201d The researchers have multiple patents on the technology used in the device.<\/p>\n<p>With the growing demand for AI applications, researchers have been looking at ways to create a more energy efficient process, while keeping performance high and costs low. Commonly, machine or artificial intelligence processes transfer data between both logic (where information is processed within a system) and memory (where the data is stored), consuming a large amount of power and energy.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Engineering researchers at the University of Minnesota Twin Cities have demonstrated a state-of-the-art hardware device that could reduce energy consumption for artificial intelligent (AI) computing applications by a factor of at least 1,000. The research is published in npj Unconventional Computing titled \u201cExperimental demonstration of magnetic tunnel junction-based computational random-access memory.\u201d The researchers have multiple [\u2026]<\/p>\n","protected":false},"author":707,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-194794","post","type-post","status-publish","format-standard","hentry","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/194794","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\/707"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=194794"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/194794\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=194794"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=194794"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=194794"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}