{"id":775,"date":"2022-07-29T14:38:00","date_gmt":"2022-07-29T14:38:00","guid":{"rendered":"http:\/\/localhost:10109\/?post_type=webinar&#038;p=775"},"modified":"2025-07-28T14:24:03","modified_gmt":"2025-07-28T14:24:03","slug":"ep-7-implementation-challenges-of-machine-learning-algorithms-for-bms","status":"publish","type":"webinar","link":"https:\/\/eatron.com\/webinar\/ep-7-implementation-challenges-of-machine-learning-algorithms-for-bms\/","title":{"rendered":"Implementation challenges of machine learning algorithms for BMS &#8211; Insights of Eatron Technologies"},"content":{"rendered":"\n<p>This talk is about high performance cells and the importance of accurate SoX, with our first external expert!<\/p>\n\n\n\n<p><a href=\"https:\/\/www.linkedin.com\/in\/ugur-yavas-80649235\/\">Ugur Yavas<\/a>, Manager Manager AI &amp; ML at Eatron Technologies will be talking about:<br>\u2013 Need for data<br>\u2013 Selection of algorithms<br>\u2013 Execution on hardware.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"Implementation challenges of machine learning algorithms for BMS\" width=\"500\" height=\"281\" data-src=\"https:\/\/www.youtube.com\/embed\/fwpDoaDSzSU?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" data-load-mode=\"1\"><\/iframe>\n<\/div><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>This talk is about high performance cells and the importance of accurate SoX, with our first external expert! 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