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UKP LabAlso consider following the authors Aniket Pramanick (Ubiquitous Knowledge Processing (UKP) Lab)‬, Yufang Hou (IT:U- Interdisciplinary Transformation University Austria, IBM Research), Saif M Mohammad (National Research Council Canada / Conseil national de recherches Canada), and Iryna Gurevych (Ubiquitous Knowledge Processing (UKP) Lab).🗺️ See you at <a href="https://sigmoid.social/tags/ACL2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#ACL2025</a> in Vienna(2/2)<a href="https://sigmoid.social/tags/NLProc" class="mention hashtag" rel="nofollow noopener" target="_blank">#NLProc</a> <a href="https://sigmoid.social/tags/ACL2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#ACL2025</a> <a href="https://sigmoid.social/tags/AI4Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI4Science</a> <a href="https://sigmoid.social/tags/ACL2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#ACL2025</a>

Dr. Chris Rackauckas :julia:How successful has the SciML Small Grants program been at getting newcomers to contribute to open source software <a href="https://fosstodon.org/tags/oss" class="mention hashtag" rel="nofollow noopener" target="_blank">#oss</a> for <a href="https://fosstodon.org/tags/sciml" class="mention hashtag" rel="nofollow noopener" target="_blank">#sciml</a> <a href="https://fosstodon.org/tags/julialang" class="mention hashtag" rel="nofollow noopener" target="_blank">#julialang</a> and <a href="https://fosstodon.org/tags/ai4science" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai4science</a>? Very!* 13 total projects initiated * ~90% success rateSee the blog post summary of the first year!<a href="https://sciml.ai/news/2025/07/20/sciml_small_grants_year_one_success/" rel="nofollow noopener" translate="no" target="_blank">https://sciml.ai/news/2025/07/20/sciml_small_grants_year_one_success/</a>

Dr. Chris Rackauckas :julia:Our new manuscript shows how to extend automated model discovery and universal differential equations to chaotic systems in <a href="https://fosstodon.org/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#neuroscience</a> using a trick from control literature known as the Prediction Error Method (PEM)! <a href="https://arxiv.org/abs/2507.03631" rel="nofollow noopener" translate="no" target="_blank">https://arxiv.org/abs/2507.03631</a><a href="https://fosstodon.org/tags/sciml" class="mention hashtag" rel="nofollow noopener" target="_blank">#sciml</a> <a href="https://fosstodon.org/tags/ai4science" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai4science</a> <a href="https://fosstodon.org/tags/physicalai" class="mention hashtag" rel="nofollow noopener" target="_blank">#physicalai</a>

MottG(copied from post on X by Jure Leskovec)Announcing Biomni — the first general-purpose biomedical AI agent. Biomni is a free web platform where biomedical scientists can immediately delegate their tasks to Biomni.Biomni is an open-source initiative: we invite the community to build on it and advance biomedical research at scale. - Try it now: <a href="https://biomni.stanford.edu" rel="nofollow noopener" translate="no" target="_blank">https://biomni.stanford.edu</a> - Paper: <a href="https://biomni.stanford.edu/paper.pdf" rel="nofollow noopener" translate="no" target="_blank">https://biomni.stanford.edu/paper.pdf</a> - Code: <a href="https://github.com/snap-stanford/biomni" rel="nofollow noopener" translate="no" target="_blank">https://github.com/snap-stanford/biomni</a><a href="https://researchbuzz.masto.host/tags/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#research</a> <a href="https://researchbuzz.masto.host/tags/medicine" class="mention hashtag" rel="nofollow noopener" target="_blank">#medicine</a> <a href="https://researchbuzz.masto.host/tags/AI4Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI4Science</a> <a href="https://researchbuzz.masto.host/tags/AItools" class="mention hashtag" rel="nofollow noopener" target="_blank">#AItools</a> <a href="https://researchbuzz.masto.host/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#bioinformatics</a>

Dr. Chris Rackauckas :julia:New blog post: Machine learning with hard constraints: Neural Differential-Algebraic Equations (DAEs) as a general formalism.<a href="https://www.stochasticlifestyle.com/machine-learning-with-hard-constraints-neural-differential-algebraic-equations-daes-as-a-general-formalism/" rel="nofollow noopener" translate="no" target="_blank">https://www.stochasticlifestyle.com/machine-learning-with-hard-constraints-neural-differential-algebraic-equations-daes-as-a-general-formalism/</a><a href="https://fosstodon.org/tags/sciml" class="mention hashtag" rel="nofollow noopener" target="_blank">#sciml</a> <a href="https://fosstodon.org/tags/ai4science" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai4science</a> <a href="https://fosstodon.org/tags/hardconstraints" class="mention hashtag" rel="nofollow noopener" target="_blank">#hardconstraints</a> <a href="https://fosstodon.org/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#neuralnetworks</a> <a href="https://fosstodon.org/tags/dae" class="mention hashtag" rel="nofollow noopener" target="_blank">#dae</a> <a href="https://fosstodon.org/tags/acausal" class="mention hashtag" rel="nofollow noopener" target="_blank">#acausal</a> <a href="https://fosstodon.org/tags/modelingtoolkit" class="mention hashtag" rel="nofollow noopener" target="_blank">#modelingtoolkit</a> <a href="https://fosstodon.org/tags/julialang" class="mention hashtag" rel="nofollow noopener" target="_blank">#julialang</a> <a href="https://fosstodon.org/tags/modelica" class="mention hashtag" rel="nofollow noopener" target="_blank">#modelica</a>

ESWC Conferences📘 The 2nd NSLP 2025 Workshop is now underway at <a href="https://sigmoid.social/tags/ESWC2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#ESWC2025</a>! 📍 Room 3 – Aurora III, Floor 0NSLP brings together researchers focused on the processing, analysis, transformation, and utilization of scientific language and Research Knowledge Graphs (RKGs).From papers to structured knowledge — this is where AI meets scientific publishing. 🧠📄🔗<a href="https://sigmoid.social/tags/NSLP2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#NSLP2025</a> <a href="https://sigmoid.social/tags/ResearchKnowledgeGraphs" class="mention hashtag" rel="nofollow noopener" target="_blank">#ResearchKnowledgeGraphs</a> <a href="https://sigmoid.social/tags/ScientificLanguage" class="mention hashtag" rel="nofollow noopener" target="_blank">#ScientificLanguage</a> <a href="https://sigmoid.social/tags/SemanticWeb" class="mention hashtag" rel="nofollow noopener" target="_blank">#SemanticWeb</a> <a href="https://sigmoid.social/tags/NLP" class="mention hashtag" rel="nofollow noopener" target="_blank">#NLP</a> <a href="https://sigmoid.social/tags/KnowledgeGraphs" class="mention hashtag" rel="nofollow noopener" target="_blank">#KnowledgeGraphs</a> <a href="https://sigmoid.social/tags/ESWC2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#ESWC2025</a> <a href="https://sigmoid.social/tags/AI4Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI4Science</a> <a href="https://sigmoid.social/tags/LinkedData" class="mention hashtag" rel="nofollow noopener" target="_blank">#LinkedData</a> <a href="https://sigmoid.social/tags/OpenScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenScience</a>

Dr. Chris Rackauckas :julia:New blog post: How chaotic is chaos? How some AI for Science / SciML papers are overstating accuracy claims.<a href="https://www.stochasticlifestyle.com/how-chaotic-is-chaos-how-some-ai-for-science-sciml-papers-are-overstating-accuracy-claims/" rel="nofollow noopener" translate="no" target="_blank">https://www.stochasticlifestyle.com/how-chaotic-is-chaos-how-some-ai-for-science-sciml-papers-are-overstating-accuracy-claims/</a><a href="https://fosstodon.org/tags/julialang" class="mention hashtag" rel="nofollow noopener" target="_blank">#julialang</a> <a href="https://fosstodon.org/tags/sciml" class="mention hashtag" rel="nofollow noopener" target="_blank">#sciml</a> <a href="https://fosstodon.org/tags/chaos" class="mention hashtag" rel="nofollow noopener" target="_blank">#chaos</a> <a href="https://fosstodon.org/tags/ergodic" class="mention hashtag" rel="nofollow noopener" target="_blank">#ergodic</a> <a href="https://fosstodon.org/tags/ai4science" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai4science</a>

OpenAIREOpenAIRE is co-organising the NSLP 2025 Workshop on Natural Scientific Language Processing & Research Knowledge Graphs, taking place on 2 June 2025 in Portoroz, co-located with ESWC.Learn more: <a href="https://shorturl.at/nLPbJ" rel="nofollow noopener" translate="no" target="_blank">https://shorturl.at/nLPbJ</a><a href="https://mastodon.social/tags/NSLP2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#NSLP2025</a> <a href="https://mastodon.social/tags/OpenScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenScience</a> <a href="https://mastodon.social/tags/FAIRdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#FAIRdata</a> <a href="https://mastodon.social/tags/NLP" class="mention hashtag" rel="nofollow noopener" target="_blank">#NLP</a> <a href="https://mastodon.social/tags/RKG" class="mention hashtag" rel="nofollow noopener" target="_blank">#RKG</a> <a href="https://mastodon.social/tags/ESWC2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#ESWC2025</a> <a href="https://mastodon.social/tags/AI4Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI4Science</a>

Thomas Ekman JorgensenSave the date - and prepare your contribution! <a href="https://eupolicy.social/@EUA" class="u-url mention" rel="nofollow noopener" target="_blank">@EUA</a> is organising an online conference on <a href="https://eupolicy.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> and <a href="https://eupolicy.social/tags/universities" class="mention hashtag" rel="nofollow noopener" target="_blank">#universities</a>, focusing on use cases, practices and policies, 22-23 May 2025. The call for contribution is open, registrations will open in the coming weeks.<a href="https://eupolicy.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#ArtificialIntelligence</a> <a href="https://eupolicy.social/tags/highered" class="mention hashtag" rel="nofollow noopener" target="_blank">#highered</a> <a href="https://eupolicy.social/tags/AI4Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI4Science</a> <a href="https://www.eua.eu/events/eua-events/eua-conference-on-artificial-intelligence.html" rel="nofollow noopener" translate="no" target="_blank">https://www.eua.eu/events/eua-events/eua-conference-on-artificial-intelligence.html</a>

Thomas Ekman Jorgensen💶 The <a href="https://eupolicy.social/tags/EU" class="mention hashtag" rel="nofollow noopener" target="_blank">#EU</a> must take this seriously and support the application of <a href="https://eupolicy.social/tags/AI4Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI4Science</a> – no pooling, double-tagging or leveraging, new money is needed.<a href="https://eupolicy.social/tags/EUPolicy" class="mention hashtag" rel="nofollow noopener" target="_blank">#EUPolicy</a>

Thomas Ekman JorgensenA thread on <a href="https://eupolicy.social/tags/AI4Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI4Science</a>: It has been a week of <a href="https://eupolicy.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> events. First at <a href="https://eupolicy.social/tags/Swisscor" class="mention hashtag" rel="nofollow noopener" target="_blank">#Swisscor</a> and then at <a href="https://masto.ai/@euractiv" class="u-url mention" rel="nofollow noopener" target="_blank">@euractiv</a> Some take-aways:

Elise van der PolOur team in Microsoft Research AI for Science is looking for a Senior ML Researcher to work at the intersection of machine learning, chemistry, and drug discovery. Amsterdam, NL or Cambridge, UK.<a href="https://jobs.careers.microsoft.com/global/en/share/1801560/" rel="nofollow noopener" translate="no" target="_blank">https://jobs.careers.microsoft.com/global/en/share/1801560/</a><a href="https://sigmoid.social/tags/ai4science" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai4science</a>

EPFL AI Center💡In this second episode of AI Game Changers, meet Prof. Martin Schrimpf from the EPFL Neuro-X institute and head of the NeuroAI Lab, and hear about his quest to understand the human brain in computational terms by bridging machine learning & hashtag#neuroscience. 🎥 Watch the video here: <a href="https://youtu.be/wIidjx-044c" rel="nofollow noopener" translate="no" target="_blank">https://youtu.be/wIidjx-044c</a><a href="https://mastodon.social/tags/EPFLAICenter" class="mention hashtag" rel="nofollow noopener" target="_blank">#EPFLAICenter</a> <a href="https://mastodon.social/tags/AIGameChangers" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIGameChangers</a> <a href="https://mastodon.social/tags/AI4Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI4Science</a> <a href="https://mastodon.social/tags/AI4Education" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI4Education</a> <a href="https://mastodon.social/tags/AI4Health" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI4Health</a> <a href="https://mastodon.social/tags/AI4Sustainability" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI4Sustainability</a> <a href="https://mastodon.social/tags/AI4Society" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI4Society</a> <a href="https://mastodon.social/tags/EPFL" class="mention hashtag" rel="nofollow noopener" target="_blank">#EPFL</a> <a href="https://mastodon.social/tags/NeuroX" class="mention hashtag" rel="nofollow noopener" target="_blank">#NeuroX</a>

EPFL AI CenterComing soon to EPFL...<a href="https://mastodon.social/tags/AIGameChangers" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIGameChangers</a> <a href="https://mastodon.social/tags/AI4Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI4Science</a> <a href="https://mastodon.social/tags/AI4Education" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI4Education</a> <a href="https://mastodon.social/tags/AI4Health" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI4Health</a> <a href="https://mastodon.social/tags/AI4Society" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI4Society</a>

irratzoThe Helmholtz AI Conference and its barcamp satellite events are a great venue for <a href="https://chaos.social/tags/AI4Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI4Science</a> research and hands-on experiences. They are open to everybody to attend and contribute, not just for Helmholtz people. <a href="https://haicon24.de/" rel="nofollow noopener" translate="no" target="_blank">https://haicon24.de/</a> <a href="https://chaos.social/tags/HAICON" class="mention hashtag" rel="nofollow noopener" target="_blank">#HAICON</a> <a href="https://chaos.social/tags/HAICON24" class="mention hashtag" rel="nofollow noopener" target="_blank">#HAICON24</a>

Thomas Ekman JorgensenIn the US, an impressive range of stakeholders is piloting a common platform (training, data, computing) for <a href="https://eupolicy.social/tags/AI4science" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI4science</a> - inspiration for the European discussions about a 'CERN for <a href="https://eupolicy.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a>?<a href="https://nairrpilot.org/" rel="nofollow noopener" translate="no" target="_blank">https://nairrpilot.org/</a>

Nishtha SrivastavaExtremely proud to present my group's pre-print paper executed by my PhD student Mr. Jonas Köhler on <a href="https://techhub.social/tags/earthquake" class="mention hashtag" rel="nofollow noopener" target="_blank">#earthquake</a> <a href="https://techhub.social/tags/forecasting" class="mention hashtag" rel="nofollow noopener" target="_blank">#forecasting</a> using <a href="https://techhub.social/tags/deeplearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#deeplearning</a>. We pose earthquake forecasting as a classification problem and train a Neural Network to decide, whether a <a href="https://techhub.social/tags/timeseries" class="mention hashtag" rel="nofollow noopener" target="_blank">#timeseries</a> of length greater than 2 years will end in an earthquake on the following day with magnitude greater than 5 or not. The study could be summarised in following three points: 1) We use spatio-temporal b value data, on which we train an <a href="https://techhub.social/tags/autoencoder" class="mention hashtag" rel="nofollow noopener" target="_blank">#autoencoder</a> to learn the normal seismic behaviour. 2) We then take the pixel by pixel reconstruction error as input for a Convolutional Dilated Network classifier, whose model output could serve for earthquake forecasting. 3) We develop a special progressive training method for this model to mimic real life use. <a href="https://techhub.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#data</a> <a href="https://techhub.social/tags/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#research</a> <a href="https://techhub.social/tags/ai4good" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai4good</a> <a href="https://techhub.social/tags/ai4science" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai4science</a> <a href="https://techhub.social/tags/seismology" class="mention hashtag" rel="nofollow noopener" target="_blank">#seismology</a> <a href="https://arxiv.org/abs/2307.01812" rel="nofollow noopener" target="_blank">https://arxiv.org/abs/2307.01812</a>

Cheng Soon OngMoving to a smaller instance. A re-<a href="https://masto.ai/tags/introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#introduction</a>.I research <a href="https://masto.ai/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#MachineLearning</a> for Scientific Discovery. <a href="https://masto.ai/tags/ml4science" class="mention hashtag" rel="nofollow noopener" target="_blank">#ml4science</a> <a href="https://masto.ai/tags/ai4science" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai4science</a> I advocate for <a href="https://masto.ai/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenSource</a> and <a href="https://masto.ai/tags/OpenScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenScience</a> when possible. A lot of my effort goes to solving problems in <a href="https://masto.ai/tags/LifeScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#LifeScience</a> <a href="https://masto.ai/tags/Genomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#Genomics</a> and <a href="https://masto.ai/tags/RadioAstronomy" class="mention hashtag" rel="nofollow noopener" target="_blank">#RadioAstronomy</a>.Read our book on Mathematics for Machine Learning at <a href="https://mml-book.com" rel="nofollow noopener" target="_blank">https://mml-book.com</a>I cook to relax.

Elise van der Pol<a href="https://sigmoid.social/tags/introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#introduction</a> I'm a senior researcher at Microsoft Research AI4Science in Amsterdam.My research interests include AI4Science, single- and multi-agent reinforcement learning, and structure, symmetry, and equivariance in deep learning.<a href="https://sigmoid.social/tags/reinforcementlearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#reinforcementlearning</a> <a href="https://sigmoid.social/tags/ai4science" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai4science</a> <a href="https://sigmoid.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machinelearning</a> <a href="https://sigmoid.social/tags/deeplearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#deeplearning</a> <a href="https://sigmoid.social/tags/equivariantagents" class="mention hashtag" rel="nofollow noopener" target="_blank">#equivariantagents</a>

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