{"version":"1.0","provider_name":"2025 Summit","provider_url":"https:\/\/embeddedvisionsummit.com\/2025","title":"Image Tokenization for Distributed Neural Cascades - 2025 Summit","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"bMDP94dXwy\"><a href=\"https:\/\/embeddedvisionsummit.com\/2025\/session\/image-tokenization-for-distributed-neural-cascades\/\">Image Tokenization for Distributed Neural Cascades<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/embeddedvisionsummit.com\/2025\/session\/image-tokenization-for-distributed-neural-cascades\/embed\/#?secret=bMDP94dXwy\" width=\"600\" height=\"338\" title=\"&#8220;Image Tokenization for Distributed Neural Cascades&#8221; &#8212; 2025 Summit\" data-secret=\"bMDP94dXwy\" 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\/2025\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/embeddedvisionsummit.com\/2025\/wp-content\/uploads\/sites\/15\/2025\/02\/Chow_Lin_SpeakerCard.jpg","thumbnail_width":1200,"thumbnail_height":630,"description":"Multimodal LLMs promise to bring exciting new abilities to devices! As we see foundational models become more capable, we see compute requirements grow as well. It is not uncommon to see LLMs grow to tens of billions of parameters, at [&hellip;]"}