{"version":"1.0","provider_name":"3Dnatives","provider_url":"https:\/\/www.3dnatives.com\/en","author_name":"Mikahila L.","author_url":"https:\/\/www.3dnatives.com\/en\/author\/mikahila\/","title":"MIT Uses Artificial Intelligence To Automate 3D Printing Materials Discovery Process - 3Dnatives","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"VaNSftf8jd\"><a href=\"https:\/\/www.3dnatives.com\/en\/mit-artificial-intelligence-3d-printing-materials-191020214\/\">MIT Uses Artificial Intelligence To Automate 3D Printing Materials Discovery Process<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.3dnatives.com\/en\/mit-artificial-intelligence-3d-printing-materials-191020214\/embed\/#?secret=VaNSftf8jd\" width=\"600\" height=\"338\" title=\"&#8220;MIT Uses Artificial Intelligence To Automate 3D Printing Materials Discovery Process&#8221; &#8212; 3Dnatives\" data-secret=\"VaNSftf8jd\" 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:\/\/www.3dnatives.com\/en\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/www.3dnatives.com\/en\/wp-content\/uploads\/sites\/2\/2021\/10\/3Dnatives-cover-picture-850x500-2.png","thumbnail_width":850,"thumbnail_height":500,"description":"Artificial Intelligence, and more specifically, machine learning, is finding its way through various applications in the additive manufacturing industry. This time, researchers from MIT have applied the data-driven nature of machine learning to automate the process of discovering new 3D printing materials. With machine learning, material performance factors such as toughness and compression strength were optimized using an algorithm that quickly outperformed conventional methods of 3D printing material formulation.\u00a0"}