<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[&quot;New AI method tackles one of science’s hardest math problems&quot;]]></title><description><![CDATA[<p>"New AI method tackles one of science’s hardest math problems"</p><p>Researchers at the Univ. of Pennsylvania have introduced a new way to use AI to tackle one of the most difficult challenges in mathematics: inverse partial differential equations.  The team's solution, called "Mollifier Layers," improves how AI handles these problems by refining the math behind the process instead of simply adding computing power.</p><p><a href="https://www.sciencedaily.com/releases/2026/05/260505234605.htm" rel="nofollow noopener"><span>https://www.</span><span>sciencedaily.com/releases/2026</span><span>/05/260505234605.htm</span></a></p><p><a href="https://openreview.net/forum?id=6mFVZSzyev" rel="nofollow noopener"><span>https://</span><span>openreview.net/forum?id=6mFVZS</span><span>zyev</span></a></p><p><a href="https://researchbuzz.masto.host/tags/research" rel="tag">#<span>research</span></a>  <a href="https://researchbuzz.masto.host/tags/AI" rel="tag">#<span>AI</span></a>   <a href="https://researchbuzz.masto.host/tags/math" rel="tag">#<span>math</span></a> <a href="https://researchbuzz.masto.host/tags/medicine" rel="tag">#<span>medicine</span></a></p>]]></description><link>https://postcall.pub/topic/39696447-e5d8-4086-a03f-be0dc429b7a1/new-ai-method-tackles-one-of-science-s-hardest-math-problems</link><generator>RSS for Node</generator><lastBuildDate>Mon, 25 May 2026 01:30:32 GMT</lastBuildDate><atom:link href="https://postcall.pub/topic/39696447-e5d8-4086-a03f-be0dc429b7a1.rss" rel="self" type="application/rss+xml"/><pubDate>Wed, 06 May 2026 19:15:58 GMT</pubDate><ttl>60</ttl></channel></rss>