Mario Krenn

@mariokrenn.bsky.social

Professor for "Machine Learning in Science", University of Tübingen. Artificial Intellgence as a source of inspiration in Science. https://mariokrenn.wordpress.com/

Ein spannendes, neues Paper aus unserem Cluster, jetzt in @natmachintell.nature.com erschienen! Glückwunsch an die Autoren @mariokrenn.bsky.social und Sören Arlt! Lest die Pressemitteilung von @unituebingen.bsky.social für mehr Infos 👇

Universität Tübingen@unituebingen.bsky.social · 6mo ago

Eine Künstliche Intelligenz, die völlig neue, teils ungewöhnliche Experimente in der #Quantenphysik entwirft und zugleich für Forschende leicht verständlich darstellt, wurde jetzt an der Uni Tübingen entwíckelt uni-tuebingen.de/universitaet... #AI #KI @mariokrenn.bsky.social

Mario Krenn (links) und Sören Arlt (rechts). Fotos: Elia Schmid/Universität Tübingen, privat

Big grant news today! I feel very lucky and honored for this opportunity from @erc.europa.eu . We will attempt to go for a big qualitative step up in how we use AI/ML to predict how particles interact with matter. Stoked to get started on this in 2026. we will release job advertisements soon!

Technische Universität München@tum.de · 12mo ago

Congratulations to six of our #researchers, including Lukas Heinrich, who receive prestigious ERC #StartingGrants worth up to 1.5 million euros each for projects in #informatics, #medicine, #LifeSciences & #NaturalSciences: go.tum.de/682017 👏 #ERCStG @erc.europa.eu 📷A.Eckert

The researchers conducted an empirical study comparing an LLM to human programmers comprehending clean and confusing code. Based on their analysis, both LLMs (via LLM perplexity) and humans (via EEG) are similarly confused about the code. How do Humans and LLMs Process Confusing Code?

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Last year, a team identified 47,176,870 as the fifth “busy beaver” number, a quantity tied to one of the hardest problems in computation. They've now found that the sixth number is so big, it's impossible to write without special notation. www.quantamagazine.org/busy-beaver-...

Busy Beaver Hunters Reach Numbers That Overwhelm Ordinary Math | Quanta Magazine

The quest to find the longest-running simple computer program has identified a new champion. It’s physically impossible to write out the numbers involved using standard mathematical notation.

quantamagazine.org

🚀 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 [1/5]

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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...

Physicists disagree wildly on what quantum mechanics says about reality, Nature survey shows

First major attempt to chart researchers’ views finds interpretations in conflict.

nature.com