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#differentiable

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Hacker News<p>Differentiable Logic Cellular Automata — <a href="https://google-research.github.io/self-organising-systems/difflogic-ca/?hn" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">google-research.github.io/self</span><span class="invisible">-organising-systems/difflogic-ca/?hn</span></a><br><a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HackerNews</span></a> <a href="https://mastodon.social/tags/Differentiable" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Differentiable</span></a> <a href="https://mastodon.social/tags/Logic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Logic</span></a> <a href="https://mastodon.social/tags/Cellular" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Cellular</span></a> <a href="https://mastodon.social/tags/Automata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Automata</span></a> <a href="https://mastodon.social/tags/research" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>research</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> <a href="https://mastodon.social/tags/selforganizing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>selforganizing</span></a>-systems</p>
MatMat<p><span class="h-card" translate="no"><a href="https://social.epfl.ch/@schmitz" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>schmitz</span></a></span> (left) explaining his recent work on making <a href="https://social.epfl.ch/tags/dftk" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dftk</span></a> algorithmically <a href="https://social.epfl.ch/tags/differentiable" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>differentiable</span></a> at the <a href="https://social.epfl.ch/tags/cecam" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cecam</span></a> workshop on <a href="https://social.epfl.ch/tags/dft" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dft</span></a> and <a href="https://social.epfl.ch/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> (<a href="https://www.cecam.org/workshop-details/1281" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">cecam.org/workshop-details/128</span><span class="invisible">1</span></a>). With his work derivatives of key density-functional theory quantities like forces or band structures wrt. model parameters can now be easily computed.</p>
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