🌎 The #MCML was represented at a Bavarian economic delegation to the Bay Area, exploring the intersection of #AI and the thriving tech ecosystem of #SiliconValley. Thomas Meier, Science Manager for Collaborations, joined this delegation!

📢 We are hiring! Join the #MCML team as a Science Manager for Acquisition of Third-Party Funding. Application deadline: April 15, 2026.
Read more ➡️ portal.mytum.de/jobs/sonstig...

𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Today’s AI systems are remarkably good at recognizing what stands out most. Yet understanding how details relate to each other remains difficult. #MCML Members address this challenge in their work.
🔎 Read more in our blog: mcml.ai/news/2026-02...

#Girls’Day2026: On April 23, 2026, the #MCML, together with Deep Tech Collective and CreAITech , invites girls aged 14–16 to an interactive Girls’ Day at the Hochschule für Philosophie München.

💡 Find out more: www.girls-day.de/.oO/Show/mun...

Join our #MCML Online Seminar Series, where MCML Junior Members present new papers, preprints & ongoing research — everyone who is interested is welcome!

📅 Feb 19, 3:30–4:30 PM
🎤 Dennis Frauen on nonparametric LLM evaluation from preference data
🔗 mcml.ai/events/2026-...

𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Trying to find a single moment in a 1-hour video can feel impossible. AI faces the same challenge: models that handle short clips often fail on long videos.

#MCML Members introduce a model that finds exact moments efficiently.

🔎 Read more: mcml.ai/news/2026-02...

𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: How can machines learn the hidden rules that govern how systems change—how objects move, how weather patterns unfold, or how biological signals evolve—without ever being told what those rules are?

Research from #MCML Members shows that this is possible: mcml.ai/news/2026-01...

MCML - From Global to Regional Explanations: Understanding Models More Locally JMLR research shows how subgroup-specific explanations reveal hidden patterns that global model explanations often miss.

𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Averaging patterns leads to misleading explanations, e.g., a model predicts bike rentals peak at noon, while in reality, commuters ride in the morning and evening — a common issue in machine learning.
🔎 This is addressed in a paper by #MCML researchers: mcml.ai/news/2026-01...

#MCML launched the #Thinkathon, connecting AI research with real needs in the Bavarian education. MCML Members teamed up to create AI-based teaching kits that schools can actually use.

Thank you for everyone involved for your creativity, expertise, and enthusiasm!

The #MCML held its annual General Assembly last week, bringing members together for updates, networking, and discussion. A major highlight were the 30+ Flash Talks from Junior Members showcasing their ongoing research.

Great to see the community come together!

#MCML researchers have contributed more than 40 papers to NeurIPS 2025! Check them out: mcml.ai/news/2025-11...

Congrats to our researchers! 🎉 #NeurIPS2025

MCML - Call for Applications: Data Science Professional Certificate Program @LMU 2026 The Data Science Certificate Program@LMU 2026 is a graded extra-occupational training program designed for working professionals and researchers.

Data is everywhere — and knowing how to make sense of it is essential. The Data Science Certificate Program at #LMU in collaboration with #MCML is a part-time academic training course. It is designed for working professionals in academia and industry.
🔎 Find out more: mcml.ai/news/2025-10...

✈️ As part of the #MCML AI X-Change, Kun Yuan visited Stanford and joined Serena Yeung-Levy’s lab in Biomedical Data Science. In our blog, he shares his key learnings, projects, and insights from working at the intersection of AI and biomedicine.

🔎 Read more: mcml.ai/news/2025-11...

#EMNLP2025 is currently happening in Suzhou, China and #MCML researchers have contributed a total of 37 papers to the conference! 🎉 Check them out: mcml.ai/news/2025-11...

#MCML researchers have contributed a total of 20 papers to #ICCV2025! Check them out: mcml.ai/news/2025-10...

𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Deep learning is increasingly helping doctors. However, it’s often hard to understand how these models make decisions.
To change that, #MCML members built SIC, a transparent AI classifier that makes image diagnosis both intuitive and reliable.

📄 Read more: mcml.ai/news/2025-10...

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
👉mcml.ai/news/2025-10-09-fischer-...

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...

#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...

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