{"version":"1.0","provider_name":"2022 Summit","provider_url":"https:\/\/embeddedvisionsummit.com\/2022","title":"Accelerate Tomorrow\u2019s Models with Lattice FPGAs - 2022 Summit","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"Ksn0tSLKuq\"><a href=\"https:\/\/embeddedvisionsummit.com\/2022\/session\/accelerate-tomorrows-models-with-lattice-fpgas\/\">Accelerate Tomorrow\u2019s Models with Lattice FPGAs<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/embeddedvisionsummit.com\/2022\/session\/accelerate-tomorrows-models-with-lattice-fpgas\/embed\/#?secret=Ksn0tSLKuq\" width=\"600\" height=\"338\" title=\"&#8220;Accelerate Tomorrow\u2019s Models with Lattice FPGAs&#8221; &#8212; 2022 Summit\" data-secret=\"Ksn0tSLKuq\" 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\/2022\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/embeddedvisionsummit.com\/2022\/wp-content\/uploads\/sites\/10\/2022\/04\/HusseinO_SpeakerCard_16-17-scaled.jpeg","thumbnail_width":2560,"thumbnail_height":1340,"description":"Deep learning models are advancing at a dizzying pace, creating difficult dilemmas for system developers. When you begin developing an edge AI system, you select the best available model for your needs. But by the time you\u2019re ready to deploy [&hellip;]"}