27.11.2025
Seeing the Bigger Picture – One Detail at a Time
MCML Research Insight - With Rui Xiao, Sanghwan Kim, and Zeynep Akata
Large vision-language models (VLMs) like CLIP (Contrastive Language-Image Pre-training) have changed how AI works with mixed inputs of images and text, by learning to connect pictures and words. Given an image with a caption like “a dog playing with a ball”, CLIP learns to link visual patterns (the …
25.11.2025
InterACT Workshop 2025
Methodological Challenges in Explainable AI
The InterACT Workshop 2025 took place at LMU Munich in September. Participants engaged in an intensive scientific exchange on methodological challenges in Explainable AI (xAI). The workshop brought together 24 researchers from eight institutions across Europe: LMU Munich, University of Bremen, …
©BIFOLD/Michael Setzpfandt
25.11.2025
How Will Artificial Intelligence Redefine Medicine in the Next Decade?
AI in Medicine Workshop 2025
The AI in Medicine Workshop 2025 brought together more than 120 experts from medicine and computer science at the Baltic, Charité’s innovation hub for digital health.
25.11.2025
Daniel Rückert Among the World’s Most Cited Researchers
TUM News
MCML Director Daniel Rückert is listed among the world’s most frequently cited researchers in the Cross-Field category for his work on artificial intelligence in healthcare and medicine. In total, 17 TUM scientists were recognized in the 2025 Highly Cited Researchers rankings by Clarivate, highlighting their significant contributions to their …
©MCML
24.11.2025
Research Stay at Stanford University
Kun Yuan – Funded by the MCML AI X-Change Program
During my research stay at Stanford University from July to September 2025, I had the pleasure of being part of the research group led by Assistant Professor Serena Yeung in the Department of Biomedical Data Science. My two-month stay in California gave me the opportunity to investigate how public scientific articles can be leveraged to build …
20.11.2025
Digdeep Podcast: How Does Synera Shape Product Development of the Future, Moritz Maier?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In the new episode of #digdeep, Moritz Mayer talks about the shape product development of Synera. Developing physical products requires specialized knowledge and the use of complex tools. Moritz Maier and his startup Synera want to simplify this process by creating a platform that enables product development such as “low code” programming. On this …
20.11.2025
Zigzag Your Way to Faster, Smarter AI Image Generation
MCML Research Insight - With Vincent Tao Hu, Olga Grebenkova, Pingchuan Ma, Johannes Schusterbauer, and Björn Ommer
State-of-the-art diffusion models like DiT and Stable Diffusion have made AI image generation incredibly powerful. But they still struggle with one big issue: scaling to large images or videos quickly and efficiently without exhausting your GPU memory. What if we could process images faster, use less memory, and still retain visual quality—without …
13.11.2025
Anne-Laure Boulesteix Among the World’s Most Cited Researchers
LMU Newsroom
MCML PI Anne‑Laure Boulesteix has been named a Highly Cited Researcher 2025 by Clarivate for her influential work in the Cross-Field category. The recognition highlights publications from 2014–2024 that rank among the top 1% most cited worldwide, reflecting Anne‑Laure Boulesteix’s global impact and the international visibility of her research. She …
13.11.2025
Björn Ommer Featured in Frankfurter Rundschau
Google’s AI Search Mode Challenges Content Visibility and Online Publishing
MCML PI Björn Ommer was recently featured in Frankfurter Rundschau, commenting on the impact of Google’s new AI-powered search mode. The article discusses how AI-generated summaries in search results may reduce traffic to publishers and reshape how users access information online. Ommer emphasized that while this development offers greater …
13.11.2025
Fabian Theis Among the World’s Most Cited Researchers
TUM News
MCML PI Fabian Theis is listed among the world’s most frequently cited researchers in Biology and Biochemistry for his work on mathematical modeling of biological systems. In total, 14 TUM scientists were recognized in the 2025 Highly Cited Researchers rankings by Clarivate, highlighting their significant contributions to their respective fields.
13.11.2025
Explaining AI Decisions: Shapley Values Enable Smart Exosuits
MCML Research Insight - With Julia Herbinger, Giuseppe Casalicchio, Yusuf Sale, Bernd Bischl and Eyke Hüllermeier
Picture a typical day in a warehouse: one worker lifts, bends, and carries out the same task over and over again. While the routine may seem simple, the physical toll steadily builds—affecting joints and muscles. To combat the long-term health risks associated with such repetitive movements, businesses are increasingly turning to exoskeletons and …
06.11.2025
Industry Pitch Talks Recap
With the Stadtwerke München (SWM)
On 4 November 2025, Stadtwerke München (SWM) welcomed representatives from the Munich Center for Machine Learning (MCML) for a focused session of Industry Pitchtalks. The event highlighted the growing synergy between academic research and real-world applications of artificial intelligence in energy, utilities, and process analytics.
06.11.2025
AI, Ethics and Society Workshop
Short Recap
On 29 October 2025, the workshop “AI, Ethics and Society” brought together researchers and practitioners from the Junges Kolleg | BAdW, Munich Center for Machine Learning (MCML) and bidt – Graduate Center für Postdocs to explore how artificial-intelligence algorithms shape individual and collective memory.
©Gorodenkoff-stock.adobe.com
03.11.2025
Research on Human-Centred Exosuit Technology Highlighted in Börsen-Zeitung
MCML Research About Wearable Robotics
LMU and Harvard researchers are developing smarter and safer wearable technologies that adapt to the people using them. Their latest method not only optimizes how an exosuit supports workers during lifting, but also explains why these decisions are made—bringing transparency and human expertise into the process. Tuning exosuits is a delicate task: …
©Terzo Algeri/Fotoatelier M/ TUM
30.10.2025
Language Shapes Gender Bias in AI Images
TUM News
Alexander Fraser, MCML PI, and his team discovered that AI image generators reproduce gender stereotypes differently across languages. In their study of nine languages, they found that generic prompts like “accountant” mostly produced male images, while explicitly feminine or neutral prompts reduced bias but sometimes affected image quality. The …
26.10.2025
CSG-Fusion Wins Best Paper at ICCV 2025 Workshop
Award-Winning Work by MCML Director Daniel Cremers and Junior Members Wenbo Ji and Weirong Chen
The paper “CSG-Fusion: Consistent Sparse-View Gaussian Splatting via Matching-based Fusion” by MCML Director Daniel Cremers and Junior Member Weirong Chen, together with Wenbo Ji, and Yan Xia, received the Best Paper Award at the ICCV 2025 Workshop on End-to-End 3D Learning. CSG-Fusion reduces redundant Gaussian representations in pixel-aligned …
26.10.2025
Barbara Plank and Hinrich Schütze Featured on ARD
The Segment Highlights Challenges AI Faces in Understanding Regional Language Variations
MCML PIs Barbara Plank and Hinrich Schütze were featured in a recent ARD Capriccio segment on how AI struggles to understand dialects. The broadcast highlighted research from the MaiNLP lab, with insights from MCML Junior Member Verena Blaschke, showcasing the challenges of applying AI language models to regional variations.
26.10.2025
CoProU-VO Wins GCPR 2025 Best Paper Award
Award-Winning Work by MCML Director Daniel Cremers and His Team for Advances in Unsupervised Visual Odometry
The paper “CoProU-VO: Combining Projected Uncertainty for End-to-End Unsupervised Monocular Visual Odometry” by MCML Director Daniel Cremers and Junior Members Weirong Chen and Johannes Meier, together with Jingchao Xie, Oussema Dhaouadi, and Jacques Kaiser received the Best Paper Award at GCPR 2025.
26.10.2025
Munich Career Fair for AI & Data Science 2025
Recap of the Event
The Munich Career Fair for AI & Data Science took place on October 23, 2025, at TranslaTUM in Munich. Organized by MDSI, relAI, MCML, and the AI Hub@LMU, the event brought together students, researchers, and industry representatives to discuss career opportunities in AI, machine learning, and data science. Companies such as Celonis, DENSO, GE …
26.10.2025
Unai Fischer-Abaigar Featured on Executive Code
AI Prediction and Its Impact on Government Resource Allocation
MCML Junior Member Unai Fischer-Abaigar, was featured in a recent episode of Executive Code. He discussed his paper “The Value of Prediction in Identifying the Worst-Off”, exploring how governments use AI to allocate limited resources and when improving predictive models is more effective than simply expanding access to public programs. Using real …
24.10.2025
Digdeep Podcast: Live From HerCareer With Anne Greul: How to Successfully Pivot a Startup.
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In the new episode of #digdeep, Anne Greul shows startup-pivots form herCareer. Anne took the courageous step into entrepreneurship and learned early on that the path is rarely straightforward. Instead of pursuing a classic career in consulting or the automotive industry, she founded a startup in the Web 3.0 and blockchain sector with partners – but …
20.10.2025
Björn Ommer Appointed LMU Chief AI Officer
LMU News
As of October 1, our PI Björn Ommer, has been appointed LMU’s Chief AI Officer. In his new role, he will help strengthen LMU’s strategic profile in Artificial Intelligence and further expand research and transfer activities in this key area – in close collaboration with TUM and non-university partners.
17.10.2025
Call for Applications: Data Science Professional Certificate Program @LMU 2026
Application Deadline: 16.01.2026
The Data Science Certificate Program at LMU Munich, offered in collaboration with MCML, is a graded, part-time academic training program. It is designed for working professionals, researchers, and executives who want to improve their skills in the field of data analytics, statistics, and machine learning. The program is offered twice a year. Apply …
16.10.2025
SIC: Making AI Image Classification Understandable
MCML Research Insight - With Tom Nuno Wolf, Emre Kavak, Fabian Bongratz, and Christian Wachinger
Deep learning models are emerging more and more in everyday life, going as far as assisting clinicians in their diagnosis. However, their black box nature prevents understanding errors and decision-making, which arguably are as important as high accuracy in decision-critical tasks. Previous research typically focused on either designing models to …
12.10.2025
Panel on the "Ethics of AI Agents"
Recap of the Event
On 25 September 2025, LMU Munich hosted the panel discussion “Ethics of AI Agents” at the Carl Friedrich von Siemens Stiftung, in cooperation with MCML, the appliedAI Institute for Europe, the TUM Think Tank, the Bavarian State Ministry for Digital Affairs, the Liquid Legal Institute, and the Technical University of Munich.
10.10.2025
Digdeep Podcast: How Do We Get Germany on Track Digitally, Cihan Sügür?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In the current episode of #digdeep, Cihan Sügür, associated partner of MHP, talks about digitalization in Germany. Since 2024, Capital magazine has ranked Cihan Sügür among its “Top 40 under 40” individuals driving Germany forward with innovative strength. He is a prime example of people who break new ground with courage and determination. Cihan is …
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 groups, and to foster engagement in collaboration …
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 …