{"id":12227,"date":"2021-07-28T09:07:05","date_gmt":"2021-07-28T13:07:05","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=12227"},"modified":"2021-07-28T09:07:05","modified_gmt":"2021-07-28T13:07:05","slug":"how-ai-will-help-keep-time-at-the-tokyo-olympics","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/how-ai-will-help-keep-time-at-the-tokyo-olympics\/12227\/","title":{"rendered":"How AI Will Help Keep Time at the Tokyo Olympics"},"content":{"rendered":"Originally published in Wired, July 24, 2021. Omega, the official timekeeper of the Games, is now using computer vision and motion sensors for events like swimming, gymnastics, and beach volleyball. Timing of Olympic races has not always been sophisticated. On April 10, 1896, some 17 runners competed in the very first Olympic\u00a0marathon. The course ran approximately 40 km, and of the athletes representing five different nations, it was a Greek water carrier, Spyridon Louis, who eventually emerged victorious, winning in two hours, 58 minutes, and 50 seconds. How do we know this impressive statistic? The very same stopwatch <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/how-ai-will-help-keep-time-at-the-tokyo-olympics\/12227\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in Wired, July 24, 2021. Omega, the official timekeeper of the Games, is now using computer vision and motion sensors for events like swimming, gymnastics, and beach volleyball. Timing of Olympic races has not always been sophisticated. On April 10, 1896, some 17 runners competed in the very first Olympic\u00a0marathon. The course ran [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[230,243,1181,8,1180],"class_list":["post-12227","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-data-analytics","tag-machine-learning","tag-olympics","tag-predictive-analytics","tag-timekeeping-technology"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12227","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=12227"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12227\/revisions"}],"predecessor-version":[{"id":12228,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12227\/revisions\/12228"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=12227"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=12227"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=12227"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}