🚀 Excited to share our latest Review paper published in Nature Reviews Chemistry, exploring how machine learning (ML), when integrated with high-throughput experimental and computational data, can accelerate the discovery and design of heterogeneous catalysts.
Paper link: lnkd.in/eYQkUsWn
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18.07.2025 18:24 — 👍 9 🔁 5 💬 1 📌 1
Physicists disagree wildly on what quantum mechanics says about reality, Nature survey shows
First major attempt to chart researchers’ views finds interpretations in conflict.
This year quantum physics turns 100, so @nature.com decided to conduct the biggest ever survey of what lies behind it. Do physicists really believe in multiple universes? Can influences happen instantaneously? Is the Copenhagen interpretation all it's cut out to be? ⚛️🧪 www.nature.com/articles/d41...
30.07.2025 14:19 — 👍 83 🔁 46 💬 11 📌 8
... AI for spotting hidden patterns in experimental data.
Rana on the first solutions of our codes: "If my students had tried to give me this thing, I would have said, ‘No, no, that’s ridiculous,’ " 😅
21.07.2025 19:33 — 👍 0 🔁 0 💬 0 📌 0
Mario Krenn (right) and eight members of his group stand next to each other for a group photo, with green plants in the background.
Come work with us in Tübingen! Our new professor @mariokrenn.bsky.social is looking for PhDs and postdocs! The group builds #AI systems for discovering new concepts, experiments and ideas in #physics. Find out more: uni-tuebingen.de/en/128980#c2... #AIforScience
16.07.2025 13:14 — 👍 12 🔁 3 💬 0 📌 0
Very excited to have officially joined @mariokrenn.bsky.social as a PhD student at @unituebingen.bsky.social. Looking forward to the next few years of cool research on AI-driven detector design!
If you’re in Tübingen, I’d be happy to discuss research ideas over lunch or coffee!
02.07.2025 18:23 — 👍 4 🔁 1 💬 0 📌 0
Scholar Inbox: Daily Research Recommendations just for You
Science is moving fast. How can we keep up? Scholar Inbox helps researchers stay ahead by making the discovery of open access papers more personal.
On our blog: Science is moving fast. How do we keep up? #ScholarInbox, developed by the Autonomous Vision Group led by @andreasgeiger.bsky.social, helps researchers stay ahead - by making the discovery of #openaccess papers smarter and more personal: www.machinelearningforscience.de/en/scholar-i...
30.06.2025 12:40 — 👍 27 🔁 14 💬 1 📌 6
Had great fun in my first ever, live, radio interview, with ORF's Ö1 (Punkt Eins, with Barbara Zeithammer) -- on the occasion of my new professorship at the University of Tübingen @ml4science.bsky.social, talking about AI for Science.
Listen to it here: oe1.orf.at/programm/202...
(54mins, german)
26.06.2025 15:55 — 👍 20 🔁 3 💬 1 📌 0
Headshot of Mario Krenn
We welcome @mariokrenn.bsky.social as a full professor for machine learning in science at our cluster! He works on developing #AI systems to discover new ideas and concepts in #physics - and he is looking for PhDs and postdocs! Find out more: uni-tuebingen.de/en/research/... (photo: S. Spangenberg)
23.06.2025 09:57 — 👍 17 🔁 3 💬 0 📌 0
The humans behind the Artificial Scientist Lab @mpi-scienceoflight.bsky.social --> @unituebingen.bsky.social 🤘
10.06.2025 16:37 — 👍 10 🔁 0 💬 0 📌 0
One of the coolest papers I've had the pleasure to read. Cheers to @xmgu.bsky.social and @mariokrenn.bsky.social 👏🥳 🧪
05.06.2025 13:07 — 👍 5 🔁 1 💬 0 📌 0
Can #MachineLearning hint at future research directions? @xmgu.bsky.social and @mariokrenn.bsky.social envision that the ability of (future) artificial muses to predict the impact of new ideas will be crucial to inspire new interesting scientific ideas. Check out their vision here: bit.ly/3ZMZJ8e
05.06.2025 13:05 — 👍 5 🔁 2 💬 0 📌 1
I have just launched a "Lean companion" to my textbook "Analysis I": github.com/teorth/estim... . This gives a Lean translation (or paraphrasing) of the various definitions, theorems, and exercises in the textbook into Lean.
Further discussion at terrytao.wordpress.com/2025/05/31/a...
31.05.2025 17:32 — 👍 129 🔁 27 💬 0 📌 3
Oh thanks Jakob :)
31.05.2025 13:32 — 👍 1 🔁 0 💬 0 📌 0
The members of the Cluster of Excellence "Machine Learning: New Perspectives for Science" raise their glasses and celebrate securing another funding period.
We're super happy: Our Cluster of Excellence will continue to receive funding from the German Research Foundation @dfg.de ! Here’s to 7 more years of exciting research at the intersection of #machinelearning and science! Find out more: uni-tuebingen.de/en/research/... #ExcellenceStrategy
22.05.2025 16:23 — 👍 74 🔁 20 💬 4 📌 5
Super-happy that @mariokrenn.bsky.social is joining our Machine Learning for Science cluster @ml4science.bsky.social
in Tübingen as a Full Professor of "Machine Learning for Science" next week. Welcome Mario!
29.05.2025 14:43 — 👍 6 🔁 1 💬 0 📌 0
We have several open, fully-funded PhD and Postdoc positions at my group, now at the University of Tübingen. Please #RT and share with potential candidates!
Generally: AI for scientific discoveries in physics 🔥.
mariokrenn.wordpress.com/wp-content/u...
27.05.2025 23:24 — 👍 19 🔁 14 💬 0 📌 1
We’re excited to welcome a new member to the Matter Lab: El AgenteQ
Specialty: Quantum Chemistry
Operating mode: 24/7. No coffee. No ego. Just results and electrons.
Contributions: arxiv.org/abs/2505.02484
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12.05.2025 16:18 — 👍 20 🔁 13 💬 1 📌 1
YouTube video by Terence Tao
Formalizing a proof in Lean using Github copilot and canonical
As an experiment, I tried to use automated tools to formalize (in as "mindless" a fashion as possible) a one-page human written proof into Lean. You can watch the results here: www.youtube.com/watch?v=cyyR...
11.05.2025 01:16 — 👍 104 🔁 12 💬 2 📌 3
Adding a few more experienced users, hope for suggestions -- @aspuru.bsky.social @franknoe.bsky.social @janhjensen.bsky.social @chhdellago.bsky.social @mmbronstein.bsky.social @kevinkaichuang.bsky.social @kylecranmer.bsky.social @shahabbakht.bsky.social
10.05.2025 12:26 — 👍 1 🔁 0 💬 3 📌 0
Any advice on how to use BlueSky efficiently?
On X, "For You" does a great job showing interesting content. But here, "Following" feels purely chronological (dominated by frequent posters), and "Discover" mostly shows irrelevant topics.
Please comment suggestions, or Share if u have same question.
10.05.2025 12:26 — 👍 8 🔁 1 💬 8 📌 0
Now it should work, @janhjensen.bsky.social - thanks :)
10.05.2025 12:09 — 👍 1 🔁 0 💬 0 📌 0
We show how to estimate the impact of research ideas before they were even born -- just published in #MLST
[paper] iopscience.iop.org/article/10.1...
[GitHub]: github.com/artificial-s...
spearheaded by @xmgu.bsky.social
Important for future artificial muses, to generate impactful new ideas.
10.05.2025 12:08 — 👍 9 🔁 1 💬 1 📌 0
oops, thanks Jan! will replace
10.05.2025 11:03 — 👍 0 🔁 0 💬 0 📌 0
Any advice on how to use BlueSky efficiently?
On X, the "For You" tab does a great job showing interesting content. But on BlueSky, "Following" feels purely chronological (dominated by frequent posters), and "Discover" mostly shows politics and irrelevant topics.
How do you get the most out of it?
07.05.2025 09:40 — 👍 6 🔁 0 💬 1 📌 0
YouTube video by Quanta Magazine
How to Build an 'Artificial Scientist'
Physicist Mario Krenn uses artificial intelligence to discover new experimental techniques at the frontiers of physics and microscopy. He also develops algorithms that predict and suggest personalized research questions and ideas. www.youtube.com/watch?v=T_2Z...
30.04.2025 14:27 — 👍 3 🔁 1 💬 1 📌 0
A very important from our group #compchemsky #aiforscience #quantumchemistry
El Agente calculates complex quantum chemistry calculations from natural language!
Please re-share with your network.
@thematterlab.bsky.social @uoft.bsky.social #nvidia
06.05.2025 14:20 — 👍 30 🔁 10 💬 0 📌 0
Professor for CS at the Tuebingen AI Center and affiliated Professor at MIT-IBM Watson AI lab - Multimodal learning and video understanding - GC for ICCV 2025 - https://hildekuehne.github.io/
Theory division of TU Wien's Atominstitut, encompassing groups for Quantum Info, Thermo, Foundations, Computing, Optics, Many-Body physics and more! We like open, diverse science + good coffee! Account run by @tomrivlin.com
https://www.quitphysics.info/
Professor for Machine Learning, University of Tübingen, Germany
The materials for tomorrow, today.
We are the Matter Lab at the University of Toronto, led by Professor Alán Aspuru-Guzik. Our group works at the interface of theoretical chemistry with physics, computer science, and applied mathematics.
Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
AITHYRA is a new dynamic research institute for biomedical AI in Vienna. AITHYRA seeks to build Europe’s premier institute for AI-driven biological and medical research, uniting computer scientists, engineers, and biologists in a collaborative environment.
Offizieller Account des österreichischen Bundespräsidenten. Updates vom Team. Persönliche Updates sind mit (vdb) gekennzeichnet.
https://www.bundespraesident.at/impressum
quantum information, machine learning and everything in-between
@ ICFO, Barcelona.
Previously Vienna, Geneva, Zürich
https://krivachy.xyz/
Fostering a vibrant, inclusive, and global community dedicated to science and society. Join us: http://go.aps.org/2NWWEeY
Yada yada machine learning, particle physics, blah blah blah. Experiment design with AI. Intrinsically Bayesian.
More details at: https://vischia.github.io/
Trained journalist and science communicator working and living in Tübingen.
Publisher at IOP Publishing (Machine Learning: Science and Technology; Quantum Science and Technology; Physical Biology)
#machinelearning #quantum #biophysics
Based in Exeter, UK
We are a joint partnership of University of Tübingen and Max Planck Institute for Intelligent Systems. We aim at developing robust learning systems and societally responsible AI. https://tuebingen.ai/imprint
https://tuebingen.ai/privacy-policy#c1104
Neuroscientist: consciousness, perception, and Dreamachines. Author of Being You - A New Science of Consciousness.
Assistant Professor of "Data Science in Economics" at Uni Tübingen. Interested in the intersection of causal inference and so-called machine learning.
Teaching material: https://github.com/MCKnaus/causalML-teaching
Homepage: mcknaus.github.io
The MPL focuses on basic research into all aspects of the interaction between light and matter, from modern optics to photonics, quantum effects and their applications in the "real" world.
Impressum: https://mpl.mpg.de/de/impressum/
Regius Professor. Scientist, Chemist, Inventor, CEO of Chemify. Fascinated & in a state of confusion & optimism. Trying to digitize chemistry & make alien life.
kashyap7x.github.io
Postdoc at NVIDIA. Previously at the University of Tübingen and CMU. Robot Learning, Autonomous Driving.
PhD student @mackelab.bsky.social - machine learning and computational neuroscience
Professor, University of Tübingen @unituebingen.bsky.social.
Head of Department of Computer Science 🎓.
Faculty, Tübingen AI Center 🇩🇪 @tuebingen-ai.bsky.social.
ELLIS Fellow, Founding Board Member 🇪🇺 @ellis.eu.
CV 📷, ML 🧠, Self-Driving 🚗, NLP 🖺
