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, …
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 …
©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 outline a new approach to smarter and safer wearable technology. Their latest method not only optimizes complex decisions—like how an exosuit should assist a worker during heavy lifting—but also explains why those decisions are made. By making AI’s reasoning transparent …
©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
Barbara Plank Featured on ARD
The Segment Highlights Challenges AI Faces in Understanding Regional Language Variations
MCML PI Barbara Plank was 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 Verena Blaschke, showcasing the challenges of applying AI language models to regional variations.
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 …
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 …
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.
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 …
08.09.2025
Niki Kilbertus Receives Prestigious ERC Starting Grant
Award Supports Project “DYNAMICAUS” on Causal Modeling in Complex Systems
MCML PI Niki Kilbertus has been awarded a prestigious ERC Starting Grant by the European Research Council. The grant supports his project DYNAMICAUS, which combines machine learning, causal inference, and mechanistic modeling to study interventions in complex systems. By advancing methods that capture cause–effect relationships, the project opens …
08.09.2025
3D Machine Perception Beyond Vision - With Researcher Riccardo Marin
Research Film
Can AI understand the world in 3D the way we do? Riccardo Marin, researcher at TUM and MCML, works at the intersection of computer vision and 3D geometry to teach machines how to perceive shapes, patterns, and spatial structures. His work ranges from detecting production flaws in manufacturing to analyzing archaeological artifacts – showing how …
01.09.2025
Gitta Kutyniok Appears on ARD Audiothek
Discussing AI and Machine Learning in Today’s Research
Our PI Gitta Kutyniok appeared as a guest on the IQ – Wissenschaft und Forschung podcast on ARD Audiothek. The episode, titled “Grüne Rechenzentren – Wie werden sie klimaneutral?”, explores how data centers can operate climate-neutrally despite rising energy demands from AI applications. Gitta Kutyniok joined other experts to discuss sustainable …
01.09.2025
AI for Personalized Psychiatry - With Researcher Clara Vetter
Research Film
Can AI help us understand why some people develop mental disorders while others remain resilient? MCML Junior Member Clara Vetter, PhD candidate in the group of our Director Daniel Rückert, uses machine learning to uncover hidden patterns in brain scans, genetic data, and even smartphone-based information. Her goal: identifying biological markers …
27.08.2025
Top 20 in OpenAI’s Red-Teaming Challenge
MCML Junior Member Shuo Chen and Team Recognized for Advancing AI Safety Research
We are proud to share that MCML Junior Member Shuo Chen and his team ranked among the Top 20 worldwide (out of 600+) in OpenAI’s Red-Teaming Challenge on Kaggle, a global competition that attracted over 5,900 participants. Their work, titled “Bag of Tricks for Subverting Reasoning-Based Safety Guardrails”, investigates systemic weaknesses in …
25.08.2025
Satellite Insights for a Sustainable Future - With Researcher Ivica Obadic
Research Film
Can AI from satellite imagery help us design more liveable cities, improve well-being, and ensure sustainable food production? Ivica Obadić, PhD student in the group of our PI Xiaoxiang Zhu, and MCML, develops transparent AI models that not only predict change but also give actionable insights for urban planners.
21.08.2025
Björn Ommer Featured on IT-BUSINESS Podcast
Generative AI in Germany
MCML PI Björn Ommer was a guest on the eighth episode of the IT-BUSINESS podcast IT ImPuls. Together with hosts Mihriban Dincel and Agnes Panjas, he discussed the current state of generative AI in Germany, the strategic opportunities it offers, and the importance of digital sovereignty and open-source initiatives for staying competitive in the …
©Andreas Heddergott / TUM
19.08.2025
Nils Thuerey Develops New Method for Realistic Fluid Simulation
TUM News
MCML Principal Investigator Nils Thuerey and his team at TUM have introduced a novel approach that enables highly realistic simulations of fluids, capturing the complex interplay of air and water. The method holds promise for applications in visual effects, scientific research, and engineering.
18.08.2025
Mingyang Wang Receives Award at ACL 2025
Award for Impactful Contribution to Reliable and Inclusive NLP
MCML Junior Member Mingyang Wang, PhD student in the group of our PI Hinrich Schütze, has been honored with the SAC Highlights Award at ACL 2025 for the paper “Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models.” This award recognizes impactful research advancing the understanding of factual …