{"id":503287,"date":"2018-08-01T09:40:03","date_gmt":"2018-08-01T13:40:03","guid":{"rendered":"https:\/\/spaceweekly.com\/?guid=762b98b2cbb8124320c4b2dafdf95db3"},"modified":"2018-08-01T09:40:03","modified_gmt":"2018-08-01T13:40:03","slug":"teaching-ai-to-learn-from-non-experts","status":"publish","type":"post","link":"https:\/\/spaceweekly.com\/?p=503287","title":{"rendered":"Teaching AI to learn from non-experts"},"content":{"rendered":"<p>Today my IBM team and my colleagues at the UCSF Gartner lab reported in Nature Methods an innovative approach to generating datasets from non-experts and using them for training in machine learning. Our approach is designed to enable AI systems to learn just as well from non-experts as they do from expert-generated training data. We developed a platform, called Quanti.us, that allows non-experts to analyze images (a common task in biomedical research) and create an annotated dataset. The platform is complemented by a set of algorithms specifically designed to interpret this kind of &#8220;noisy&#8221; and incomplete data correctly. Used together, these technologies can expand applications of machine learning in biomedical research.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Today my IBM team and my colleagues at the UCSF Gartner lab reported in Nature Methods an innovative approach to generating datasets from non-experts and using them for training in machine learning. Our approach is designed to enable AI systems to lear&#8230;<\/p>\n","protected":false},"author":0,"featured_media":615444,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-503287","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/posts\/503287","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=503287"}],"version-history":[{"count":1,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/posts\/503287\/revisions"}],"predecessor-version":[{"id":503288,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/posts\/503287\/revisions\/503288"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/media\/615444"}],"wp:attachment":[{"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=503287"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=503287"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=503287"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}