<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en"><generator uri="https://jekyllrb.com/" version="3.10.0">Jekyll</generator><link href="https://giulio-biroli.github.io/physics-ai/feed.xml" rel="self" type="application/atom+xml" /><link href="https://giulio-biroli.github.io/physics-ai/" rel="alternate" type="text/html" hreflang="en" /><updated>2026-10-21T10:52:56+02:00</updated><id>https://giulio-biroli.github.io/physics-ai/feed.xml</id><title type="html">Physics in the Age of AI</title><subtitle>Physics in the Age of AI is a cross-disciplinary seminar series on how artificial intelligence is changing physics: research, publishing, hiring and training.</subtitle><entry><title type="html">Why a seminar on physics in the age of AI?</title><link href="https://giulio-biroli.github.io/physics-ai/blog/why-this-seminar/" rel="alternate" type="text/html" title="Why a seminar on physics in the age of AI?" /><published>2026-10-13T00:00:00+02:00</published><updated>2026-10-13T00:00:00+02:00</updated><id>https://giulio-biroli.github.io/physics-ai/blog/why-this-seminar</id><content type="html" xml:base="https://giulio-biroli.github.io/physics-ai/blog/why-this-seminar/"><![CDATA[<p>AI heralds a profound change in every scientific discipline. Mathematics is already experiencing it head-on, and physics is now beginning to as well.</p>

<p>We think this is the right moment to reflect together on how AI will transform the way we do physics — from theory to experiment — and also the way we publish, hire and train; and on how to use it well, keeping our role as researchers at the centre. These questions matter for researchers, and even more for students, PhD candidates and early-career researchers, whose training and careers will unfold in this new context.</p>

<h2 id="three-strands">Three strands</h2>

<p>The seminar is organised around three kinds of talks:</p>

<ul>
  <li><strong>Perspectives</strong> — overviews of how AI could transform the discipline, its practices and education; societal issues (sovereignty, energy consumption).</li>
  <li><strong>Results</strong> — the physics content of new results obtained with AI, and how AI was used to obtain them.</li>
  <li><strong>Methods</strong> — how to use AI in physics, for researchers, PhD candidates and students.</li>
</ul>

<h2 id="how-to-take-part">How to take part</h2>

<p>Sessions take different formats — talks followed by an open discussion, round tables, series of informal presentations — and are held in room Conf. IV at the Laboratoire de Physique of the ENS, 24 rue Lhomond, Paris. They are open to everyone. Announcements are sent to the <a href="/physics-ai/subscribe/">mailing list</a>, and slides, recordings and notes are collected under <a href="/physics-ai/resources/">Resources</a>. Suggestions for speakers and topics are welcome: write to the organisers.</p>]]></content><author><name>The organisers</name></author><summary type="html"><![CDATA[AI heralds a profound change in every scientific discipline. Mathematics is already experiencing it head-on; physics is beginning to as well.]]></summary></entry></feed>