{"id":112633,"date":"2020-09-07T06:22:30","date_gmt":"2020-09-07T13:22:30","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2020\/09\/brain-inspired-electronic-system-could-make-artificial-intelligence-1000-times-more-energy-efficient"},"modified":"2020-09-07T06:22:30","modified_gmt":"2020-09-07T13:22:30","slug":"brain-inspired-electronic-system-could-make-artificial-intelligence-1000-times-more-energy-efficient","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2020\/09\/brain-inspired-electronic-system-could-make-artificial-intelligence-1000-times-more-energy-efficient","title":{"rendered":"Brain-Inspired Electronic System Could Make Artificial Intelligence 1,000 Times More Energy Efficient"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/brain-inspired-electronic-system-could-make-artificial-intelligence-1000-times-more-energy-efficient2.jpg\"><\/a><\/p>\n<p>Extremely energy-efficient artificial intelligence is now closer to reality after a study by UCL researchers found a way to improve the accuracy of a brain-inspired computing system.<\/p>\n<p>The system, which uses memristors to create artificial neural networks, is at least 1,000 times more energy efficient than conventional transistor-based AI hardware, but has until now been more prone to error.<\/p>\n<p>Existing AI is extremely energy-intensive \u2014 training one AI model can generate 284 tonnes of carbon dioxide, equivalent to the lifetime emissions of five cars. Replacing the transistors that make up all digital devices with memristors, a novel electronic device first built in 2008, could reduce this to a fraction of a tonne of carbon dioxide \u2014 equivalent to emissions generated in an afternoon\u2019s drive.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Extremely energy-efficient artificial intelligence is now closer to reality after a study by UCL researchers found a way to improve the accuracy of a brain-inspired computing system. The system, which uses memristors to create artificial neural networks, is at least 1,000 times more energy efficient than conventional transistor-based AI hardware, but has until now been [\u2026]<\/p>\n","protected":false},"author":396,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,1491],"tags":[],"class_list":["post-112633","post","type-post","status-publish","format-standard","hentry","category-robotics-ai","category-transportation"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/112633","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\/396"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=112633"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/112633\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=112633"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=112633"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=112633"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}