{"version":"1.0","provider_name":"IT:U","provider_url":"https:\/\/it-u.at\/en\/","title":"Tutorial 3 | IT:U","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"754IZJg1VP\"><a href=\"https:\/\/it-u.at\/en\/xlstm-extended-long-short-term-memory\/\">Tutorial 3<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/it-u.at\/en\/xlstm-extended-long-short-term-memory\/embed\/#?secret=754IZJg1VP\" width=\"600\" height=\"338\" title=\"&#8220;Tutorial 3&#8221; &#8212; IT:U\" data-secret=\"754IZJg1VP\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\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<\/script>\n","thumbnail_url":"https:\/\/it-u.at\/wp-content\/uploads\/2025\/06\/30\/itu-summer-school_website-header-1500x800px_neu.jpg","thumbnail_width":1500,"thumbnail_height":800,"description":"Tutorial title: xLSTM \u2013 Extended Long Short-Term Memory&nbsp; Abstract: Language models power transformative applications such as tool-using digital assistants, biological sequence modeling, and autonomous robotic systems. Currently, these language models are predominantly based on Transformer architectures. While Transformers have yielded impressive results, their quadratic runtime dependency on sequence length complicates their use for long sequences [&hellip;]"}