𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗳𝘂𝗹𝗹𝘆 𝗳𝘂𝗻𝗱𝗲𝗱 𝗣𝗵𝗗 𝗣𝗼𝘀𝗶𝘁𝗶𝗼𝗻𝘀: We are offering several PhD positions across our various research areas, open to highly qualified candidates. ‼️ The application portal will be open from 15 October to 14 November 2025. Find out more: mcml.ai/opportunitie...

Unai Fischer Abaigar is a PhD student at #LMU and #MCML whose work focuses on improving decision-making in public institutions by developing AI systems that are both fair and effective in practice. Check out the interview 👉https://mcml.ai/news/2025-10-09-fischer-abaigar-unai-interview/

Meet Kerstin Forster, researcher at #LMU & #MCML, using machine learning to cut emissions, boost renewable energy, and track corporate sustainability — driving strategies for a healthier planet. youtu.be/9mYRnXsyvLg

Matthias Feurer, Thomas Bayes Fellow at #MCML & interim prof at #LMU, builds tools to make ML easier for scientists & more efficient for experts. Next semester he starts as junior prof at TU Dortmund—sharing in our interview how the fellowship helped him get there: mcml.ai/news/2025-09...

𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Ever rerun feature importance plots and get different “top features”? That randomness comes from how explanations sample data. A #ICLR2025 paper by MCML researchers flips this: Compress Then Explain (CTE) makes model explanations more accurate. 📄 Read more: mcml.ai/news/2025-09...

#MICCAI2025 starts today and we are happy that #MCML researchers are represented with 24 papers! Congrats to our researchers! 🎉 Check them out: mcml.ai/news/2025-09...

Meet Simon Schallmoser, researcher at #LMU & #MCML, who uses machine learning to forecast conditions and personalize care — from detecting low blood sugar in diabetic drivers to paving the way for safer, proactive healthcare. youtu.be/fZA5gJxX704

𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Identifying an object’s pose from partial data is like spotting a mug when only the handle is visible. GCE-Pose, a new method by #MCML Members and collaborators, presented at CVPR 2025, takes on this challenge with finesse. 📄 More on our blog: mcml.ai/news/2025-09...

✈️🇺🇸 AI X-Change Spotlight: The #MCML 𝗔𝗜 𝗫-𝗖𝗵𝗮𝗻𝗴𝗲 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 supports our Members in collaborating internationally with leading research institutions. PhD student Hannah Laus spent 11 weeks at Harvard University. She shares her experience in a new blogpost: mcml.ai/news/2025-09...

The event Comparing Notes on Trustworthy AI explores the rise of AI agents and personal assistants—and the ethical challenges they pose. 🎙 Gitta Kutyniok (LMU/MCML), Lena Kästner (Uni Bayreuth), Barbara Plank (LMU/MCML) 💡 September 25, 2025 · 5:30 pm 🔗 Register: www.eventbrite.de/e/comparing-...

We are hiring! Join the #MCML team as a Science Manager for acquisition of third-party funding. Application deadline: October 05, 2025. Read more ➡️ portal.mytum.de/jobs/sonstig...

Meet Yannick Burkhardt, researcher at #TUM & #MCML, using event cameras that capture changes in light up to a million times per second – giving machines lightning-fast perception for robotics and self-driving cars. youtu.be/QJD5qnIb7z4

Meet Riccardo Marin, researcher at #TUM & #MCML, exploring computer vision and 3D geometry. From detecting flaws in manufacturing to studying the human body, his work brings machine perception closer to human experience. youtu.be/ngC3NHy6_4U

AI and Memory Workshop On Oct 29 in Munich researchers from MCML BAdW and bidt meet to discuss how AI algorithms influence individual and collective memory with expert talks and networking #AI #Memory #MCML #BAdW #bidt

MCML and LAMARR join forces in Bonn Sept 24–25 to explore generative AI and NLP with talks from PhD students postdocs and senior researchers plus networking to build collaborations #AI #NLP #MCML #LAMARR

Meet Clara Sophie Vetter, PhD student at #LMU & #MCML, who uses AI to find hidden patterns in brain scans, genetic data & smartphone data 🧠. Her goal: identify biomarkers to predict mental health risks & enable more personalized psychiatric care. youtu.be/MPjdJ11eL6k

Meet Ivica Obadic, PhD student at #TUM & #MCML, who develops transparent AI models to analyze satellite images 🌍. His work detects and predicts urban changes, giving city planners explainable recommendations to design more sustainable, livable cities. youtu.be/Qlur0GgsXcA

Meet Azade Farshad who develops digital twins of patients at #TUM & #MCML to improve treatment, surgical planning & training. Using graph-based analysis and multimodal data, she creates realistic surgical simulations to preview procedures & optimize strategies. www.youtube.com/watch?v=9D1Q...

🎥 As a child, Niki Kilbertus wanted to discover a law of nature. Today, as a #TUM professor and PI at #Helmholtz & #MCML, he develops AI that doesn’t just spot patterns — it reveals cause and effect. www.youtube.com/watch?v=EYut...

𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Tracking actions, not just objects — the Spatiotemporal Action Grounding Challenge & Workshop at ICCV 2025 tackles detecting when and where actions occur in complex videos. 📄 Read more: mcml.ai/news/2025-08...

Imagine a “living map” of cities built from geo-tagged social media data. Meet Shanshan Bai ( #MCML/ #TUM) using #AI to identify building functions from online context—offering real-time insights for urban planning & emergency response when official data is outdated www.youtube.com/watch?v=oAet...

𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Fine-tuning text-to-image models just got easier. A method by MCML members Vincent Tao Hu and Björn Ommer as well as team enables smooth control over attributes like age—without changing the rest of the image. Read more in our blog🔗 mcml.ai/news/2025-08...

🎥 Who gets the credit, or the blame, when AI makes decisions? Sven Nyholm ( #LMU/ #MCML) reflects on how AI challenges our ideas of agency, credit, and blame — and why we need new ways of thinking about authorship, justice, and decision-making. www.youtube.com/watch?v=KUqi... #AI #Ethics

Meet Dominik Bär, #MCML junior member & PhD student at #LMU. He’s building AI that not only detects hate & misinformation but also understands why it's posted—and replies with thoughtful, real-time counterspeech. www.youtube.com/watch?v=oTkB...

𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: #MCML members Lukas Gosch, Stephan Günnemann, Debarghya Ghoshdastidar, as welll as Mahalakshmi Sabanayagam show exact guarantees on neural network stability under label flips. 📖 Read more: mcml.ai/news/2025-07...

🎥 From wanting to see Earth from space to building AI systems that help us understand it better. Xiaoxiang Zhu (TUM/#MCML) uses satellite imagery and Data Science to extract reliable geo-information. www.youtube.com/watch?v=acO8... #AI #EarthObservation

💡 How is #AI changing eye care? Lucie Huang, #MCML junior member + PhD student at #TUM, is developing AI for faster, sharper eye scans — enabling earlier diagnosis + better treatment. 🎥 First video in our KI Trans series w/ TüftelLab + LMU! www.youtube.com/watch?v=mSm1...

MCML researchers with more than 20 papers at #ACL2025 in Vienna🎉 Check them out: mcml.ai/news/2025-07...

Recently, we visited SAP Labs in Garching and had an event of our series “MCML Pitchtalks with Industry” Read more: mcml.ai/news/2025-07... Thanks a lot for hosting us!

Conversations and new connections at our #MCML Stammtisch, yesterday🍕🍺

𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: What if a single image could reveal an entire 3D scene—even the hidden parts? Humans do this instinctively. Inspired by this, #MCML Members and collaborators, developed SceneDINO🦖: a feed-forward method for unsupervised semantic scene completion. 📄 Read more: mcml.ai/news/2025-07...

🎥 New algorithms often claim to be faster or more accurate — but hidden biases can distort results. At #LMU and #MCML, Anne-Laure Boulesteix and Milena Wünsch investigate how small choices in method comparisons can lead to big distortions — often without us noticing. www.youtube.com/watch?v=x0jJ...

How can AI be meaningfully integrated into everyday school life? 👩‍🏫🤖 Join #MCML on 28 July for a discussion with experts on practical AI use in education. 🕤 9:30–12:30 | 📍 TUM 🔗 mcml.ai/events/2025-07-28-ki-und-schule-im-dialog #AI #Education #EdTech #DigitalEducation #Schools

Outstanding Paper Award at #ICML2025 for MCML members Unai Fischer Abaigar & Christoph Kern, and Juan Carlos Perdomo (Harvard) for “The Value of Prediction in Identifying the Worst-Off”! Only 6 papers received this honor — congratulation! 🔗 arxiv.org/abs/2501.19334

🎥 The brain’s cortex is just 2–3 mm thick — but small changes can signal early dementia. Christian Wachinger, Professor of AI in Radiology at #TUM and #MCML, uses deep learning to reconstruct the cortex in 3D from MRI scans, enabling early, precise diagnosis. www.youtube.com/watch?v=2avr...

In May, 20 #MCML researchers visited Harvard, MIT, NYU & Cornell Tech to foster long-term #AI collaborations — with a focus on generative models and medical AI. ‼️🔍🏙️ Get insights into what the delegation experienced in our recap: mcml.ai/news/2025-07...

MCML researchers will be represented at #ICML2025 with more than 20 accepted paper 🎉 Check them out: mcml.ai/news/2025-07...

🎥 Decision-makers don’t just need AI that predicts the future—they need AI that explains the consequences of actions. Or as Stefan Feuerriegel (LMU/MCML) puts it: "They don’t need one crystal ball, but two—one for each possible action." That’s what causal ML does. www.youtube.com/watch?v=HLCJ...

𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Imagine an operating room — fast decisions, complex interactions, precise movements. MM-OR captures it all: visuals, sound, dialogue, robot actions, and more, offering a rich multimodal dataset for understanding surgical environments. 📄 Read more: mcml.ai/news/2025-07...

Packed rooms, vibrant poster sessions, and a panel on “LLMs in Scientific Practice and the Social Consequences” wrapped up #MCML Munich AI Day 2025. 🎤 With Tina Eliassi-Rad, Mennatallah El-Assady, Neil Lawrence & Daniel Cremers, the panel highlighted how LLMs are shifting science and society.

"What makes us human in an AI-shaped world?" — At #MCML Munich AI Day 2025, Neil Lawrence explored this question, reminding us of the indivisible human core machines can't replicate. Björn Ommer followed with insights into how GenAI is commodifying intelligence and reshaping how we use computers.

Last week, #MCML Munich AI Day 2025 kicked off with keynotes by Julia Schnabel and Tina Eliassi-Rad, brilliantly moderated by Eva Schulz.

🎥 Imaging moving organs is a tough challenge — but neural networks are making it possible. Reinhard Heckel (TUM/MCML) is using deep learning to improve image quality from medical scans. Watch how smarter models and better data are transforming medical imaging: www.youtube.com/watch?v=KmWm...

𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Every word in a presidential debate matters—not just what’s said, but how it’s said. A study by #MCML member Philipp Wicke and Marianna Bolognesi (University of Bologna) analyzes the September 10, 2024 Trump–Harris debate. 📄 Read more: mcml.ai/news/2025-06...

🎥 In this video, Michael Ingrisch (LMU, #MCML) explains why radiologists and data scientists must work together to build models that solve real, not just theoretical, problems. Watch the whole video here: www.youtube.com/watch?v=odUo... #AI #Radiology

🎥 What makes autonomous vehicles safe? Matthias Althoff (Professor at #TUM & #MCML PI) shows how his team designs systems that check every possible scenario before a self-driving car makes a decision. Watch the video: www.youtube.com/watch?v=SB4_...

𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Finding moments in long videos? Easy for humans, tough for AI. ReVisionLLM — by MCML Members Tanveer Hannan, Thomas Seidl & team — learns to scan like we do: look wide, zoom in and spot interesting segments. 🔗 mcml.ai/news/2025-06... #AI #LLM #VideoUnderstanding #MCML

𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Can we trust algorithms that make decisions affecting our lives? In Nature Computational Science, #MCML researchers & collaborators argue that algorithmic decision-making systems must be grounded in causal reasoning. 📄 Read more: mcml.ai/news/2025-06...

🎥 How does data quality shape AI's future? Frauke Kreuter (LMU & #MCML) explains why flawed data = flawed outcomes — no matter how good the machine learning model is. Watch to learn why fairness starts with better data: www.youtube.com/watch?v=PzrE... #AI #DataQuality

#CVPR2025 starts tomorrow and #MCML researchers are represented with 29 papers! Congrats to all researchers! 🎉 Check out their papers: mcml.ai/news/2025-06...