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 and inviting human expertise into the loop, this …
©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 …
18.08.2025
Digital Twins for Surgery - With Researcher Azade Farshad
Research Film
Azade Farshad, MCML Junior Member and PhD student in the research group of Nassir Navab, researches digital twins of patients at TUM and MCML to improve personalized treatment, surgical planning, and training. Using graph-based analysis and multimodal patient data, she builds models that create realistic surgical simulations — helping surgeons …
14.08.2025
Digdeep Podcast: From University to CEO and Back – Entrepreneurship at LMU With Philipp Baaske
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In the new episode of #digdeep, Philipp Baaske let us know, how he turned his doctoral research into the globally successful company NanoTemper, which offers innovative machines for the pharmaceutical industry. The German education system opened up this opportunity for him, and he sees it as his duty to give something back to society. Starting in …
13.08.2025
From Physics Dreams to Algorithm Discovery - With Niki Kilbertus
Research Film
As a kid, Niki Kilbertus dreamed of becoming a theoretical physicist and discovering a fundamental law of nature. But when reality proved more complex, he found a new path through computer science.
12.08.2025
Tracking Actions in Space and Time: ICCV 2025 Challenge & Workshop
MCML Research Insight - With Tanveer Hannan, Mark Weber, and Thomas Seidl
Tracking actions, not just objects: The Spatiotemporal Action Grounding Challenge and Workshop at ICCV 2025 focusses on detecting and localizing actions both in space and time within complex, real-world videos. Unlike standard action recognition, this task requires identifying when and where an action occurs, pushing models to handle long, diverse, …
11.08.2025
AI for Dynamic Urban Mapping - With Researcher Shanshan Bai
Research Film
Imagine using social media to build a “living map” of our cities. Meet Shanshan Bai, MCML junior member and PhD student PhD student in the group of our PI Xiaoxiang Zhu, who’s decoding the world around us with geo-tagged social media data.
07.08.2025
Precise and Subject-Specific Attribute Control in AI Image Generation
MCML Research Insight - With Felix Krause, Vincent Tao Hu, and Björn Ommer
Text-to-image (T2I) models like Stable Diffusion have become masters at turning prompts like “a happy man and a red car” into vivid, detailed images. But what if you want the man to look just a little older, or the car to appear slightly more luxurious without changing anything else? Until now, that level of subtle, subject-specific control was …
06.08.2025
What Is Intelligence—and What Kind of Intelligence Do We Want in Our Future? With Sven Nyholm
Research Film
Sven Nyholm, Chair of the Ethics of AI at LMU Munich and PI at MCML, explores one of the most urgent questions in AI: how responsibility, agency, and credit shift when intelligent systems make decisions for us.
05.08.2025
Björn Schuller Featured in ARD Documentary on AI and Depression Therapy
Depression - How to Get Out of It?
In the recent ARD documentary “Depression – wie kommt man wieder raus?”, MCML PI Björn Schuller shares insights on the role of artificial intelligence in mental health care. He discusses how AI systems can support the diagnosis and treatment of depression by analyzing voice, facial expressions, and behavior patterns. These technologies pave the way …
04.08.2025
AI for Better Social Media - With Researcher Dominik Bär
Research Film
Meet Dominik Bär, MCML junior member and PhD student at LMU exploring how AI can enhance the integrity of social media platforms. Dominik’s work goes beyond just detecting harmful content like hate speech and misinformation. He’s developing AI that understands why content is posted and generates thoughtful, human-like responses - so-called …
01.08.2025
Stephan Günnemann Featured in BR24
Autonomous AI Agents: Support or Takeover?
MCML PI Stephan Günnemann was recently featured in a BR24 segment discussing the rise of autonomous AI agents. He clarified the key distinction between AI assistants like ChatGPT and true agents: autonomy in both planning and execution. While companies such as Softbank envision agents taking over tasks from programming to corporate decision-making, …
01.08.2025
Fabian Theis Receives 2025 ISCB Innovator Award
Recognized for Advancing AI-Driven Biological Research
MCML PI Fabian Theis has been awarded the 2025 ISCB Innovator Award by the International Society for Computational Biology. The award honors leading scientists who have made progressive contributions to computational biology and opened new directions in the field. Congratulations from us!
01.08.2025
MCML Hosts “AI and School in Dialogue”
How Can Schools Prepare the Next Generation for an AI-Driven World?
This week, the Munich Center for Machine Learning hosted the event „KI und Schule im Dialog – Forschung, Bildungspolitik und Unterrichtspraxis” (AI and school in dialogue - research, education policy and teaching practice).
01.08.2025
Digdeep Podcast: Merantix – How Do You Build Europe's Most Successful AI Campus, Rasmus Rothe?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In the new episode of #digdeep, Rasmus Rothe explains, how the company Merantix from Berlin combines AI startups, investments, and applications. Europe has developed significant artificial intelligence methods and plays a central role in industrial applications. The fundamental AI models are increasingly becoming common knowledge and readily …
31.07.2025
From Vulnerable to Verified: Exact Certificates Shield Models From Label‑Flipping
MCML Research Insight - With Lukas Gosch, Stephan Günnemann and Debarghya Ghoshdastidar
Machine‑learning models can be undermined before training even starts. By silently altering a small share of training labels - marking “spam” as “not‑spam,” for instance - an attacker can cut accuracy by double‑digit percentages. The paper “Exact Certification of (Graph) Neural Networks Against Label Poisoning” by MCML Junior Member Lukas Gosch, …
30.07.2025
Tracking Our Changing Planet From Space - With Xiaoxiang Zhu
Research Film
From dreaming of seeing the Earth from space to leading efforts to understand our planet using AI and satellite data to tackle urgent global challenges. Xiaoxiang Zhu, Chair Professor for Data Science in Earth Observation at TUM and PI at MCML, develops machine learning systems that analyze petabytes of satellite imagery. Her work focuses on …
©LMU
29.07.2025
Yusuf Sale Receives IJAR Young Researcher Award
Award for Promising Work in Uncertainty Quantification at ISIPTA 2025
MCML Junior Member Yusuf Sale, PhD student in the group of our PI Eyke Hüllermeier, has been honored with one of the IJAR Young Researcher Awards at ISIPTA 2025. This prestigious award, presented by the International Journal of Approximate Reasoning, recognizes early-career researchers for outstanding contributions in the field of imprecise …
©LMU
29.07.2025
Barbara Plank Awarded 2025 Imminent Research Grant for Work on Language Data
Supporting Innovative Research at the Intersection of Language and AI
We are proud to announce that Barbara Plank, MCML PI and Professor of AI & Computational Linguistics at LMU Munich, has received the 2025 Imminent Research Grant for her work on language data together with Siyao Logan Peng and Marie-Catherine de Marneffe. Congratulations to Barbara and the team!
©TUM
29.07.2025
AI Research by Daniel Rückert Improves Medical Imaging and Data Privacy
TUM News
MCML Director Daniel Rückert and his team are developing AI technologies to improve diagnostic imaging and protect patient data. Their research includes federated learning approaches that allow models to learn from clinical data without sharing sensitive information, as well as privacy-enhancing techniques like added data noise. Their methods are …
29.07.2025
AI for Enhanced Eye Diagnostics - With Researcher Lucie Huang
Research Film
Curious how AI is revolutionizing the treatment of eye diseases? Learn more about what AI can do for ophthalmology with Lucie Huang, MCML junior member and PhD student in the research group of Martin Menten, who is developing AI for sharper and faster eye scans. This means earlier diagnoses and better treatments for critical eye conditions like …
25.07.2025
MCML Stammtisch - Recap
July Edition
Conversations, new connections and lots of pizza and drinks at our MCML Stammtisch, yesterday. Our Stammtisch is a regular informal meetup for all members. It’s a relaxed setting where researchers come together to chat about current projects, exchange ideas, or simply unwind and talk about life beyond the lab.
24.07.2025
SceneDINO: How AI Learns to See and Understand Images in 3D–Without Human Labels
MCML Research Insight - With Christoph Reich, Felix Wimbauer, and Daniel Cremers
Imagine looking at a single image and trying to understand the entire 3D scenery–not just what’s visible, but also what’s occluded. Humans do this effortlessly: when we see a photo of a tree, we intuitively grasp its 3D structure and semantic meaning. We learn this ability through interaction and movement in the 3D world, without explicit …
23.07.2025
How Reliable Are Machine Learning Methods? With Anne-Laure Boulesteix and Milena Wünsch
Research Film
Often a new machine learning method claims to outperform the last. Whether it’s in bioinformatics, finance, or image recognition, the message is the same: this algorithm is faster, more accurate, more powerful. But can we trust those claims?
©LMU/Stephan Höck
23.07.2025
Philipp Wicke Explores Embodied AI
LMU News
MCML Junior Member Philipp Wicke explores the role of the body in artificial intelligence in a recent article. He highlights how embodiment, the connection between physical presence and intelligence, could be essential for developing more capable and grounded AI systems. The article focuses on the idea of embodiment and how physical interaction with …
22.07.2025
Eyke Hüllermeier to Lead New DFG-Funded Research Training Group METEOR
LMU News
We are happy to share that Eyke Hüllermeier, MCML PI will serve as spokesperson of the newly funded Research Training Group METEOR.
18.07.2025
Digdeep Podcast: Should Everyone Have Their Own AI Twin, Prof. Dr. Albrecht Schmidt?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In the new episode of #digdeep, our PI Albrecht Schmidt talks about the possibility and chances of AI twins in the future. Everyone uses AI based chatbot models. Would it also be possible to have our own AI model trained with our life data? Such personalized AI models could act as digital twins, coaches, or advisors, thus expanding our capabilities. …
18.07.2025
Outstanding Paper Award at ICML 2025 for MCML Researchers
Unai Fischer Abaigar and Christoph Kern Honored for Their Paper on Identifying the Worst-Off Through Prediction
We are proud to share that the paper “The Value of Prediction in Identifying the Worst-Off” by our Junior Member Unai Fischer Abaigar, and Associate Christoph Kern, and collaborator Juan Carlos Perdomo from Harvard University has been selected for an Outstanding Paper Award at ICML 2025. Only six papers received this prestigious recognition this …
16.07.2025
AI-Powered Cortical Mapping for Neurodegenerative Disease Diagnoses - With Christian Wachinger
Research Film
Christian Wachinger, Professor of AI in Radiology at the Technical University of Munich and PI at MCML, is developing AI systems to precisely reconstruct the brain’s cortex — an extremely thin and highly folded sheet of neural tissue — in order to measure it for diagnostic use.
©TUM
15.07.2025
ERC Proof of Concept Grants for Fabian Theis
Award Supports Project “DeepCell” on Modeling Cellular Dynamics
MCML PI Fabian Theis has been awarded a prestigious ERC Advanced Grant by the European Research Council. The grant supports his project “DeepCell”, which aims to develop advanced deep learning methods for analyzing dynamic single-cell data. By combining state-of-the-art machine learning with cutting-edge biological research, the project seeks to …
15.07.2025
Nassir Navab Receives 2025 IEEE EMBS Technical Achievement Award
Awarded at This Year’s EMBC Conference
Our PI Nassir Navab has received the 2025 IEEE EMBS Technical Achievement Award. He was recognized “for pioneering roles in the establishment of the medical augmented reality, surgical data science, and robotic imaging fields.” The award, presented annually by the IEEE Engineering in Medicine and Biology Society (EMBS), honors individuals for …
14.07.2025
MCML's Delegation Visit to the USA
Short Recap
In May, a 20-member delegation from MCML visited top U.S. institutions — Harvard, MIT, NYU, and Cornell Tech — to foster long-term collaboration in AI research. The visit marked an important step in MCML’s newly launched AI X-Change program, which supports international research stays for PhD students and hosts visiting scholars in machine …
10.07.2025
Capturing Complexity in Surgical Environments
MCML Research Insight - With Ege Özsoy, Chantal Pellegrini, Felix Tristram, Kun Yuan, David Bani-Harouni, Matthias Keicher, Benjamin Busam and Nassir Navab
Imagine an operating room - a space filled with intricate interactions, rapid decisions, and precise movements. Now, imagine capturing every detail of such a complex environment not just visually but also through sound, dialogue, robot movements, and much more. This is exactly what MM-OR – A Large Multimodal Operating Room Dataset for Semantic …
10.07.2025
Beyond Prediction: How Causal AI Enables Better Decision-Making - With Stefan Feuerriegel
Research Film
“A good prediction is rarely a good decision.” This may sound surprising in an age where AI is often celebrated for its predictive power. But when it comes to making real-world decisions — especially in complex environments like business or healthcare — prediction alone doesn’t cut it. What we need is AI that can help us choose what to do, not just …
©MCML
09.07.2025
Entrepreneurship Insights at MCML Munich AI Day
Short Recap
At the MCML Munich AI Day, we held a Masterclass on Entrepreneurship, with two invited speakers from our collaboration partners, Annie Weichselbaum from the LMU Innovation & Entrepreneurship Center, and Bastian Burger from TUM Venture Labs. Both gave short impulses on how to build a company, how to pitch, on what matters when you try to build …
©MCML
09.07.2025
Masterclass on Science Communication at MCML Munich AI Day
Short Recap
The MCML Munich AI Day 2025 began on a collaborative note with a masterclass on science communication, in collaboration with the RHET AI Center and the Tübingen AI Center. A group of PhD researchers and PostDocs came together to tackle a crucial challenge: how to make their AI research more accessible, engaging, and impactful beyond academic …
©MCML
08.07.2025
Highlights From the MCML Munich AI Day 2025
A Short Recap
The MCML Munich AI Day 2025 brought together a full house of leading researchers, policymakers, industry experts, and journalists to discuss the transformative power of AI in today’s society. In addition,as part of the ELLIS Pre-ICML 2025 Fest, the event served as a vibrant platform for interdisciplinary dialogue on the societal, scientific, and …
©LMU
07.07.2025
Anne-Laure Boulesteix Receives Reinhart Koselleck Grant
Funding for Innovative Statistical Research
MCML Principal Investigator Anne-Laure Boulesteix has been awarded a prestigious Reinhart Koselleck Grant by the German Research Foundation (DFG). The highly competitive program supports researchers with an outstanding scientific track record who pursue particularly innovative or high-risk projects. Her project, titled “The design, interpretation …
07.07.2025
How Neural Networks Are Changing Medical Imaging – With Reinhard Heckel
Research Film
Clear imaging is essential for accurate diagnosis — but when it comes to the heart, motion makes it one of the most difficult organs to capture in high resolution. Traditional reconstruction methods often struggle to deliver the detail clinicians need.
©BMFTR
03.07.2025
Greetings From the Federal Ministry of Research, Technology and Space
PSt’in Dr. Silke Launert on the Importance of Responsible and Forward-Looking AI Research
We are pleased to share a video message from of the Federal Ministry of Research, Technology and Space (BMFTR) on the occasion of the MCML Munich AI Day 2025. In her address, PSt’in Dr. Silke Launert emphasizes the federal government’s strong commitment to artificial intelligence as a key technology for the future. She highlights the importance of …
©LC Productions/LMU
27.06.2025
Every Household Needs a “Digital Chimney Sweep”– Insights From Johannes Kinder
LMU News
At this year’s ACNS conference (June 23–26 in Munich), MCML Associate Johannes Kinder emphasized the growing security risks posed by smart home devices. From toothbrushes to robot vacuums, many Internet of Things (IoT) devices transmit data without proper encryption or updates, leaving users vulnerable.
©TUM
26.06.2025
Zeynep Akata Receives 2025 ZukunftsWissen Prize
Award Highlights Contributions to the Field of Interpretable Machine Learning
We are happy to share that our PI Zeynep Akata has been awarded the 2025 ZukunftsWissen Prize by the German National Academy of Sciences Leopoldina and the Commerzbank Foundation. The award honors her work in explainable and trustworthy AI, including early contributions to zero-shot learning and recent advancements in multimodal generative models. …