{"id":648,"date":"2021-06-11T11:42:27","date_gmt":"2021-06-11T11:42:27","guid":{"rendered":"https:\/\/metrics.blogg.gu.se\/?p=648"},"modified":"2021-06-02T11:48:13","modified_gmt":"2021-06-02T11:48:13","slug":"new-from-ml","status":"publish","type":"post","link":"https:\/\/metrics.blogg.gu.se\/?p=648","title":{"rendered":"New from ML?"},"content":{"rendered":"\n<p class=\"has-drop-cap\">I seldom write about films and events, well maybe actually never, but this year, a lot has happened in the online way. <\/p>\n\n\n\n<p><a href=\"https:\/\/www.youtube.com\/watch?v=qKkjCQlS1g4\">What&#8217;s new in Machine Learning | Keynote &#8211; YouTube<\/a><\/p>\n\n\n\n<p>The video above is about the news from Google about their TensorFlow library, which include new ways of training models, compression and performance tuning and more. <\/p>\n\n\n\n<p>TensorFlow Light and TensorFlow JS allow us to use the same models as for desktops, but on mobile devices. Really impressive. I&#8217;ve caught myself thinking whether I&#8217;m more impressed by the hardware capabilities of small devices, or the capabilities of software. Either way &#8211; super cool. <\/p>\n\n\n\n<p>Google is not the only company announcing something. NVidia is also showing a lot of cool features for enterprises. Cloud access for rapid prototyping, model testing and deployments are in the center of that. <\/p>\n\n\n\n<p><a href=\"https:\/\/www.youtube.com\/watch?v=Lp4eyWKstBs\">NVIDIA Executive Keynote for Enterprise AI at COMPUTEX 2021 &#8211; YouTube<\/a><\/p>\n\n\n\n<p>I like gaming, so this is impressing, but even more impressive is to look at the last-year&#8217;s DLSS technology, which still cannot be beaten by the competition. Really nice. <\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>I seldom write about films and events, well maybe actually never, but this year, a lot has happened in the online way. What&#8217;s new in Machine Learning | Keynote &#8211; YouTube The video above is about the news from Google about their TensorFlow library, which include new ways of training models, compression and performance tuning &hellip; <a href=\"https:\/\/metrics.blogg.gu.se\/?p=648\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;New from ML?&#8221;<\/span><\/a><\/p>\n","protected":false},"author":68,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4,1,5],"tags":[],"_links":{"self":[{"href":"https:\/\/metrics.blogg.gu.se\/index.php?rest_route=\/wp\/v2\/posts\/648"}],"collection":[{"href":"https:\/\/metrics.blogg.gu.se\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/metrics.blogg.gu.se\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/metrics.blogg.gu.se\/index.php?rest_route=\/wp\/v2\/users\/68"}],"replies":[{"embeddable":true,"href":"https:\/\/metrics.blogg.gu.se\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=648"}],"version-history":[{"count":1,"href":"https:\/\/metrics.blogg.gu.se\/index.php?rest_route=\/wp\/v2\/posts\/648\/revisions"}],"predecessor-version":[{"id":649,"href":"https:\/\/metrics.blogg.gu.se\/index.php?rest_route=\/wp\/v2\/posts\/648\/revisions\/649"}],"wp:attachment":[{"href":"https:\/\/metrics.blogg.gu.se\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=648"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/metrics.blogg.gu.se\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=648"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/metrics.blogg.gu.se\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=648"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}