{"id":107882,"date":"2020-05-30T14:57:33","date_gmt":"2020-05-30T21:57:33","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2020\/05\/early-bird-uses-10-times-less-energy-to-train-deep-neural-networks"},"modified":"2020-05-30T14:57:33","modified_gmt":"2020-05-30T21:57:33","slug":"early-bird-uses-10-times-less-energy-to-train-deep-neural-networks","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2020\/05\/early-bird-uses-10-times-less-energy-to-train-deep-neural-networks","title":{"rendered":"Early Bird uses 10 times less energy to train deep neural networks"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/early-bird-uses-10-times-less-energy-to-train-deep-neural-networks3.jpg\"><\/a><\/p>\n<p>Rice University\u2019s Early Bird could care less about the worm; it\u2019s looking for megatons of greenhouse gas emissions.<\/p>\n<p>Early Bird is an energy-efficient method for training deep neural networks (DNNs), the form of artificial intelligence (AI) behind self-driving cars, intelligent assistants, facial recognition and dozens more high-tech applications.<\/p>\n<p>Researchers from Rice and Texas A&amp;M University <a href=\"https:\/\/iclr.cc\/virtual_2020\/poster_BJxsrgStvr.html\">unveiled Early Bird<\/a> April 29 in a spotlight paper at ICLR 2020, the International Conference on Learning Representations. A study by lead authors Haoran You and Chaojian Li of Rice\u2019s Efficient and Intelligent Computing (EIC) Lab showed Early Bird could use 10.7 times less energy to train a DNN to the same level of accuracy or better than typical training. EIC Lab director Yingyan Lin led the research along with Rice\u2019s Richard Baraniuk and Texas A&amp;M\u2019s Zhangyang Wang.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Rice University\u2019s Early Bird could care less about the worm; it\u2019s looking for megatons of greenhouse gas emissions. Early Bird is an energy-efficient method for training deep neural networks (DNNs), the form of artificial intelligence (AI) behind self-driving cars, intelligent assistants, facial recognition and dozens more high-tech applications. Researchers from Rice and Texas A&amp;M University [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,1491],"tags":[],"class_list":["post-107882","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\/107882","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=107882"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/107882\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=107882"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=107882"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=107882"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}