Senior Researcher @know_center, working in machine learning.
Graz, Österreich
- Tweets 322
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If you want to visit me at @Know_Center to work in the fields of information theory for deep learning or physics- informed neural networks, this might be a great opportunity. Drop me a line if you are interested!
Exciting News!
🌟The Open Call for ENFIELD's Third-party Exchange Scheme (TES) is now live 🚀
🗓️ Feb 1 - Mar 31, 2024 💡 Addressing AI challenges in Healthcare, Energy, Manufacturing, and Space
🔗 Details & Apply: enfield-project.eu/1st_open_…
ENFIELD Partner Institutions cannot apply!
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Bernhard Geiger retweeted
On March 11-12, we gathered in #Brdo_pri_Kranju, #Slovenia, for a workshop on #AI in sustainable energy & #GreenAI, hosted by #Iskraemeco & @Know_Center
🔍AI-driven energy optimization
🔧Predictive maintenance
🔋Smart energy storage
🌐AI in energy forecasting
💡Sustainable AI
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Feel free to reach out if you want to join @FRohrhofer and me at @Know_Center for work on physics-informed machine learning!
🌟3rd Exchange Scheme Open Call🌟
We invite PhD students, post-docs, and senior researchers to propose innovative projects addressing #ENFIELD challenges and advancements in #AI research areas:
*Adaptive AI
*Green AI
*Human-Centric AI
*Trustworthy AI
Join us in making an impact
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Bernhard Geiger retweeted
🌟3rd Exchange Scheme Open Call🌟
We invite PhD students, post-docs, and senior researchers to propose innovative projects addressing #ENFIELD challenges and advancements in #AI research areas:
*Adaptive AI
*Green AI
*Human-Centric AI
*Trustworthy AI
Join us in making an impact
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Bernhard Geiger retweeted
🚀Exciting times ahead for #ENFIELD🌍
We’re thrilled to welcome all our partners to Budapest for the General Assembly III 🎉
The preparation is in full swing – from setting up the room 🖥️ to ensuring everything is ready for productive discussions.
Can’t wait to see everyone here!
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Bernhard Geiger retweeted
Join us at the Workshop on AI for Sustainable Energy Systems and Green AI hosted by the HEU project ENFIELD!
📅 11-12 March 2025
Explore how AI can revolutionize energy systems while reducing environmental costs 🚀
📑 Submit your abstract by 10 Feb 2025
enfield-project.eu/ws_ai_sus…
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Bernhard Geiger retweeted
Advancing #AIResearch at KC: @LinaraAdylova (@ruhrunibochum) spent 3 months with us through an @HorizonEnfield open call to explore information-theoretic properties of #NeuralNetworks, #LatentSpaceGeometry & generalization performance to enhance our understanding of #DeepLearning
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Bernhard Geiger retweeted
❗️ Horizon Enfield's 2nd Exchange scheme Open Call deadline extended to 31th Ocotber 2024. 23:00 CET. More info: enfield-project.eu/oc2_TES_2…
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Bernhard Geiger retweeted
The #ENFIELD General Assembly successfully wrapped up in Eindhoven on 11-10 September! 🎉 A big thank you to all the partners for presenting their progress and future plans, and special thanks to TU/e for organizing such an insightful and productive event.
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🤯 Our work (arxiv.org/abs/2402.09090) on epsilon-machines, lumpability, and emergence has been covered on Youtube -- thanks so much @skdh for this amazing summary!
1/3 "Lumpability is now a technical term". Take-home from @skdh's wonderful video recap of our preprint on identifying and quantifying emergence (FYI .@seanmcarroll). Thanks Sabine 🙏🏽 - and great stuff project leads @_fernando_rosas & @PedroMediano youtube.com/watch?v=Tw9sr05V…
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BTW, this work was performed within the project @KnowskiteX
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Very nice article about our recent preprint on #arxiv: arxiv.org/abs/2402.09090; thanks, @QuantaMagazine !
How emergence happens has long been debated amongst physicists, biologists and philosophers alike. A new framework identifies the hierarchical structure that’s key to how order emerges on macroscopic scales. @philipcball reports: quantamagazine.org/the-new-m…
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Bernhard Geiger retweeted
𝗘𝗺𝗲𝗿𝗴𝗲𝗻𝗰𝗲 𝗱𝗲𝗺𝘆𝘀𝘁𝗶𝗳𝗶𝗲𝗱!
Great piece by @philipcball on the work by @_fernando_rosas et al. with new methods to formalize emergence. Huge need to get math to back up hypotheses of emergence.
quantamagazine.org/the-new-m…
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Bernhard Geiger retweeted
🚀 Join us for the KNOWSKITE-X 2nd Webinar! Discover topics like steel design, ML applications, reinforcement learning for materials design, and much more! Register for free!
knowskite-x.eu/knowskite-x-2… #MachineLearning #MaterialsDiscovery
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Bernhard Geiger retweeted
🎉Reflecting on a successful WP2-WP3 Workshop held on April 23-24 at @IMTFrance
🔍We explored pillars and verticals’ use cases, collaboration between WP2 & WP3, and new planning for future TES & TIS Open Calls.
Thank you to all who participated and contributed! 🌟🌟
#ENFIELD #AI
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This project is led by @ecoplus_noe and executed jointly with @fh_stpoelten FOTEC @Fraunhofer @wu_vienna IMG and @Know_Center
Proud to initiate #LogiTRAAK! Joining forces with top research institutes & industry leaders to elevate Austrian industry with Asset Tracking & Tracing Systems. Leading #dataanalysis & modeling, along with providing Data Service Cards. Together, we're shaping future #logistics!
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Reach out to me if you want to join me and @Know_Center for work on physics-informed ML or information-theoretic analyses of deep learning!
🚨 Deadline Alert!
The 1st Open Call for Horizon Enfield has been extended to April 14th, 2024, 23:00 CET.
Don't miss out! 🌟 #HorizonEnfield #ai #researchers
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Don't forget to apply if you are interested in working with me on PINNs or information-theoretic analyses of deep learning!
We are part of the @HorizonEnfield project, which offers €1.1 million to 76 motivated researchers, promoting interdisciplinary AI research and excellence. Join and address topics in Adaptive, Green, Human-Centric, and Trustworthy AI.
🎯enfield-project.eu/1st_open_…
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Bernhard Geiger retweeted
Preprint time:
“Software in the natural world: A computational approach to emergence in complex multi-level systems”
arxiv.org/abs/2402.09090
A rigorous framework that not only identifies *when* emergence takes place, but explains *how* this happens computationally
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Preprint 📜:
If the world is (microscopically) a Markov chain, and if coarse grainings of Markov chains are usually not Markov, then why do so many (macroscopic) phenomena appear Markov to us?
🧵
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(We also discuss how these kinds of closure are connected to the lumpability of Markov chains, the rare scenario where a function of a Markov chain is Markov.)
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Joint work with @_fernando_rosas, @loopyluppi, @anilkseth, Daniel Polani, Michael Gastpar, @PedroMediano
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