{"version":"1.0","provider_name":"Visual Studio news feed","provider_url":"https:\/\/devblogs.microsoft.com\/vsnews","author_name":"Shikha Kaul","author_url":"https:\/\/devblogs.microsoft.com\/vsnews\/akams-author\/v-shik\/","title":"Using .NET Hardware Intrinsics API to accelerate machine learning scenarios","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"Dl7vSJNAeA\"><a href=\"https:\/\/devblogs.microsoft.com\/vsnews\/akams-aa2xyj9\/\">Using .NET Hardware Intrinsics API to accelerate machine learning scenarios<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/devblogs.microsoft.com\/vsnews\/akams-aa2xyj9\/embed\/#?secret=Dl7vSJNAeA\" width=\"600\" height=\"338\" title=\"&#8220;Using .NET Hardware Intrinsics API to accelerate machine learning scenarios&#8221; &#8212; Visual Studio news feed\" data-secret=\"Dl7vSJNAeA\" 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:\/\/devblogs.microsoft.com\/vsnews\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-content\/uploads\/sites\/25\/2018\/08\/vsfeaturebig.png","thumbnail_width":716,"thumbnail_height":448,"description":"Hello everyone! This summer I interned in the .NET team, working on\u00a0ML.NET, an open-source machine learning platform which enables .NET developers to build and use machine learning models in their .NET applications. The ML.NET 0.6 release just shipped and you can\u00a0try it out today."}