09.10.2025
Rethinking AI in Public Institutions - Balancing Prediction and Capacity
Researcher in Focus: Unai Fischer Abaigar
Unai Fischer Abaigar is a researcher at MCML whose work focuses on improving decision-making in public institutions by developing AI systems that are both fair and effective in practice.
08.10.2025
MCML-LAMARR Workshop at University of Bonn
Collaborating on NLP Research in Bonn
On September 24th and 25th, the first MCML-LAMARR-Workshop took place at the University of Bonn. Main focus was NLP, and its related areas. PIs and junior members from both German AI Centers came together to present each others research, to be part of networking sessions and to work in discussion …
08.10.2025
Three MCML Members Win Best Paper Award at AutoML 2025
Our Members Matthias Feurer, Lennart Schneider and Bernd Bischl Honored for Their Work on Hyperparameter Optimization
We are happy to announce that the paper “Overtuning in Hyperparameter Optimization” by MCML Thomas Bayes Fellow Matthias Feurer, MCML Junior Member Lennart Schneider, and MCML Director Bernd Bischl has won the Best Paper Award at the 4th AutoML Conference. The paper defines and studies overtuning, where hyperparameter optimization can improve …
07.10.2025
Alena Buyx Joins 3sat’s NANO Talk as New Co-Host
Exploring Science Topics From AI to Nutrition
Since September, MCML PI Alena Buyx has been co-hosting NANO Talk on 3sat, alternating with journalist Stephanie Rohde and following in the footsteps of renowned science communicator Gert Scobel. The show brings science to life, discussing current and important topics with clarity, calm, and an interdisciplinary perspective. Episodes covering AI and …
29.09.2025
Machine Learning for Climate Action - With Researcher Kerstin Forster
Research Film
How can machine learning fight climate change? Kerstin Forster, researcher at LMU and MCML, explores how AI can help reduce greenhouse gas emissions, improve renewable energy systems, and enhance early warning for extreme weather.
26.09.2025
Björn Ommer Featured in WELT
AI Bias and Why Neutrality Remains a Human Responsibility
MCML PI Björn Ommer was featured in WELT discussing the challenges of AI neutrality and the risks of over- or under-correcting bias in large models. He highlighted that no system can be fully neutral since training data always reflects real-world imbalances, and emphasized the importance of maintaining human oversight in critical areas such as law …
26.09.2025
Making Machine Learning More Accessible with AutoML
Researcher in Focus: Matthias Feurer
Matthias Feurer is a Thomas Bayes Fellow and interim professor, funded by the MCML and a member of the Chair of Statistical Learning and Data Science at LMU. He aims to simplify the usage of machine learning by researching methods and developing tools that allow the usage of machine learning by domain scientists and also make machine learning more …
25.09.2025
Björn Schuller Featured in Macwelt Article
The Role of Apple Watch in Personal Health and Wellness
MCML Principal Investigator Björn Schuller is mentioned in a recent Macwelt article discussing how the Apple Watch contributes to health monitoring and the future of healthcare. He highlights the potential of smartwatches to detect subtle behavioral and physiological changes, to use audio and sensor data for early detection of conditions, and …
25.09.2025
Compress Then Explain: Faster, Steadier AI Explanations - With One Tiny Step
MCML Research Insight - With Giuseppe Casalicchio and Bernd Bischl
Imagine re-running feature importance plots and getting slightly different “top features.” Annoying, right? That uncertainty often comes from a quiet assumption: model explanation algorithms typically sample points from data at random. A new ICLR 2025 Spotlight paper by MCML Junior Member Giuseppe Casalicchio, MCML Director Bernd Bischl, first …
24.09.2025
Björn Ommer Featured on ZDF NANO Talk
Discussing the Essence, Impact, and Future of Artificial Intelligence
MCML PI Björn Ommer joined the ZDF programme NANO Talk, hosted by MCML PI Alena Buyx, to explore the question: What is the essence of artificial intelligence? In the discussion, Ommer reflected on the technological foundations of AI, its societal and ethical implications, and how these developments may shape the future.
©Eleanor Großhenning / Sons of Motion Pictures GmbH
23.09.2025
Benjamin Lange Explores Opportunities and Risks of AI Agents
LMU News
Our MCML Junior Research Group Leader Benjamin Lange explores the opportunities and risks of AI agents that act like personal assistants, from booking trips to managing finances. While they promise more freedom, they also raise ethical concerns around autonomy, responsibility, and fairness. Lange emphasizes that the society needs clear rules and …
©Andreas Heddergott / TUM
22.09.2025
Nassir Navab Shows How Avatars Reduce Stress in Autonomous Ultrasound Exams
TUM News
Our PI Nassir Navab led work showing that patients feel significantly less stress when a virtual avatar guides them during autonomous robotic ultrasound procedures. The avatar explains each step, answers questions (even in regional accents), and interacts in a more humanlike way. This approach could be especially useful in places with limited …
22.09.2025
Predicting Health With AI - With Researcher Simon Schallmoser
Research Film
How can AI predict medical conditions and personalize treatments? Simon Schallmoser, researcher at LMU and MCML, uses machine learning to forecast health risks and optimize care for patients based on their individual profiles.
19.09.2025
Digdeep Podcast: IAA in Munich – Will the Automotive Industry Turn Things Around?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In the new episode of #digdeep, Christof Horn himself talks about the turnaround of the automotive industry. Individual mobility is one of the freedoms that people value most. However, the mobility sector is undergoing unprecedented change. Every two years, the IAA in Munich becomes the central meeting place for manufacturers, suppliers, and …
©Sebastian Gabriel / picture alliance for DLD / Hubert Burda Media
19.09.2025
Björn Ommer at DLD Future Hub 2025
The Transformative Power of AI
At this year’s DLD Future Hub in Munich, our PI Björn Ommer took the stage as one of the featured speakers. In his keynote, he explored the transformative role of generative AI, emphasizing how advances in this field are set to reshape research, industry, and society at large.
19.09.2025
Fabian Theis at DLD Future Hub 2025
Reinventing Science With AI
At this year’s DLD Future Hub in Munich, our PI Fabian Theis delivered a keynote titled “Reinventing Science with AI”. He highlighted how AI is transforming research methodologies and driving innovation across science and industry.
19.09.2025
MCML at MICCAI 2025: 39 Accepted Papers (25 Main, and 14 Workshops)
28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2025). Daejeon, Republic of Korea, 23.09.2025 - 27.09.2025
We are happy to announce that MCML researchers have contributed a total of 39 papers to MICCAI 2025: 25 Main, and 14 Workshop papers. Congrats to our researchers!
18.09.2025
GCE-Pose – Predicting Whole Objects From Partial Views
MCML Research Insight - With Weihang Li, Junwen Huang, Hyunjun Jung, Nassir Navab, and Benjamin Busam
Imagine trying to identify the full shape of a familiar object, e.g. a mug, when only its handle is visible. That’s the challenge a computer faces when estimating the pose of an object (its orientation and size) from partial data. GCE‑Pose, a new approach from MCML Junior Members Weihang Li, Junwen Huang, Hyunjun Jung, Benjamin Busam, MCML PI …
©MCML
17.09.2025
Research Stay at Harvard University
Hannah Laus – Funded by the MCML AI X-Change Program
This summer, I had the incredible opportunity to spend 11 weeks at Harvard University as part of the AI X-change program, visiting the group of Flavio Calmon at the Harvard John A. Paulson School of Engineering and Applied Sciences. The idea for this visit came after my former office mate and collaborator, Claudio Mayrink Verdun, a former member of …
15.09.2025
Robots Seeing in the Dark - With Researcher Yannick Burkhardt
Research Film
What if robots could see in the dark and react faster than any human? Yannick Burkhardt, researcher at TUM and MCML, researches event cameras that capture motion in a revolutionary way. Unlike traditional cameras that take full pictures at fixed intervals, event cameras detect every tiny change in light—up to a million times per second—and feed …