{"id":108549,"date":"2020-06-11T16:02:46","date_gmt":"2020-06-11T23:02:46","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2020\/06\/engineers-offer-smart-timely-ideas-for-ai-bottlenecks"},"modified":"2020-06-11T16:02:46","modified_gmt":"2020-06-11T23:02:46","slug":"engineers-offer-smart-timely-ideas-for-ai-bottlenecks","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2020\/06\/engineers-offer-smart-timely-ideas-for-ai-bottlenecks","title":{"rendered":"Engineers offer smart, timely ideas for AI bottlenecks"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/engineers-offer-smart-timely-ideas-for-ai-bottlenecks2.jpg\"><\/a><\/p>\n<p>Rice University researchers have demonstrated methods for both designing innovative data-centric computing hardware and co-designing hardware with machine-learning algorithms that together can improve energy efficiency by as much as two orders of magnitude.<\/p>\n<p>Advances in machine learning, the form of artificial intelligence behind self-driving cars and many other high-tech applications, have ushered in a new era of computing\u2014the data-centric era\u2014and are forcing engineers to rethink aspects of computing architecture that have gone mostly unchallenged for 75 years.<\/p>\n<p>\u201cThe problem is that for large-scale deep neural networks, which are state-of-the-art for machine learning today, more than 90% of the electricity needed to run the entire system is consumed in moving data between the <a href=\"https:\/\/techxplore.com\/tags\/memory\/\" rel=\"tag\" class=\"\">memory<\/a> and processor,\u201d said Yingyan Lin, an assistant professor of electrical and <a href=\"https:\/\/techxplore.com\/tags\/computer+engineering\/\" rel=\"tag\" class=\"\">computer engineering<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Rice University researchers have demonstrated methods for both designing innovative data-centric computing hardware and co-designing hardware with machine-learning algorithms that together can improve energy efficiency by as much as two orders of magnitude. Advances in machine learning, the form of artificial intelligence behind self-driving cars and many other high-tech applications, have ushered in a new [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[41,6,1491],"tags":[],"class_list":["post-108549","post","type-post","status-publish","format-standard","hentry","category-information-science","category-robotics-ai","category-transportation"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/108549","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=108549"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/108549\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=108549"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=108549"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=108549"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}