{"version":"1.0","provider_name":"2023 Summit","provider_url":"https:\/\/embeddedvisionsummit.com\/2023","title":"Introduction to Optimizing ML Models for the Edge - 2023 Summit","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"KlWJfjfnCa\"><a href=\"https:\/\/embeddedvisionsummit.com\/2023\/session\/introduction-to-optimizing-ml-models-for-the-edge\/\">Introduction to Optimizing ML Models for the Edge<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/embeddedvisionsummit.com\/2023\/session\/introduction-to-optimizing-ml-models-for-the-edge\/embed\/#?secret=KlWJfjfnCa\" width=\"600\" height=\"338\" title=\"&#8220;Introduction to Optimizing ML Models for the Edge&#8221; &#8212; 2023 Summit\" data-secret=\"KlWJfjfnCa\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/embeddedvisionsummit.com\/2023\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/embeddedvisionsummit.com\/2023\/wp-content\/uploads\/sites\/11\/2023\/04\/PonnambalamK_SpeakerCard.jpg","thumbnail_width":1200,"thumbnail_height":630,"description":"Edge computing opens up a new world of use cases for deep learning across numerous markets, including manufacturing, transportation, healthcare and retail. Edge deployments also pose new challenges for machine learning, not seen in cloud deployments. Constrained resources, tight latency [&hellip;]"}