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 …
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 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 probabilities and uncertainty quantification. Congratulations …
©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 Article
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 at TUM, who is developing AI for sharper and faster eye scans. This means earlier diagnoses and better treatments for critical eye conditions like diabetes-related damage. Discover …
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.
25.07.2025
Industry Pitch Talks Recap
Visit to SAP Labs
On July 22nd, we visited SAP Labs in Garching and had an event of our series “MCML Pitchtalks with Industry”.
- Yunpu Ma presented his latest work on Agentic AI.
- Ivica Obadic talked about AI applications in Earth Observation and Energy Conservation.
- Maximilian Muschalik presented his work on uncertainty quantified research in ML.
25.07.2025
MCML Researchers With 36 Papers at ACL 2025
63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025). Vienna, Austria, 27.07.2025 - 01.08.2025
We are happy to announce that MCML researchers are represented with 36 papers at ACL 2025. Read more to get details on the topics.
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 Newsroom
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 …
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
Fabian Theis, MCML PI, 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
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 …
09.07.2025
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 …
©MCML
09.07.2025
Entrepreneurship Insights at MCMLMunich 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 …
06.07.2025
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
26.06.2025
Every Household Needs a “Digital Chimney Sweep”– Insights From Johannes Kinder
LMU Newsroom
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. …
©Plattform Lernende Systeme
26.06.2025
MCML PI Volker Tresp Shares Insights on Germany’s AI Future
Interview With Plattform Lernende Systeme
Volker Tresp, Principal Investigator at MCML, was recently interviewed by Plattform Lernende Systeme – Germany’s AI Platform. In the interview, he discusses Germany’s position in the international AI race, the challenges AI start-ups face, and the lessons that can be learned from the U.S. innovation ecosystem. As head of the working group …
26.06.2025
What Words Reveal: Analyzing Language in the Trump–Harris 2024 Debate
MCML Research Insight - With Philipp Wicke
In presidential debates, every word counts - not only what candidates say but how they say it. Words are carefully selected to resonate with voters’ values, fears, and hopes. A new insightful study by MCML Junior Member Philipp Wicke and Marianna M. Bolognesi dives deep into the September 10, 2024 debate between Donald Trump and Kamala Harris.
25.06.2025
When Clinical Expertise Meets AI Innovation – With Michael Ingrisch
Research Film
Artificial intelligence has enormous potential in radiology — but realizing it requires more than good algorithms. Michael Ingrisch, Clinical Data Science Professor at LMU and MCML PI, shares how his team took a practical approach: identifying a key diagnostic challenge in PET CT imaging and inviting the broader AI community to help solve it.
23.06.2025
Autonomous Driving: From Infinite Possibilities to Safe Decisions— With Matthias Althoff
Research Film
How can we guarantee that autonomous vehicles always make the right decision in unpredictable traffic?
Matthias Althoff, Professor at the chair of Cyber-Physical Systems at the Technical University of Munich and MCML PI, explores the complex challenge of ensuring safety in AI-powered driving systems.
©TUM
20.06.2025
ERC Advanced Grant for Massimo Fornasier
MCML PI Receives Funding for Nonconvex Optimization
MCML PI Massimo Fornasier has been awarded an ERC Advanced Grant for his project NEITALG. The project aims to develop new algorithms that can reliably find global solutions to challenging nonconvex optimization problems, with applications in drug development and AI safety.
20.06.2025
Zooming in on Moments: ReVisionLLM for Long-Form Video Understanding
MCML Research Insight - With Tanveer Hannan and Thomas Seidl
Imagine watching a two-hour video and trying to find the exact moment someone scores a goal - or says something important. Humans can do this with ease by skimming and zooming in. But for AI, finding specific moments in long videos is incredibly hard. Most current AI systems struggle to handle more than a few minutes of video at a time. They often …
©LMU
18.06.2025
ERC Advanced Grant for Albrecht Schmidt
MCML PI Receives Funding for Research on Personalized Generative AI
MCML PI Albrecht Schmidt has been awarded an Advanced Grant by the European Research Council (ERC) for his project “AI of Human Experience: Towards Personal Generative AI‑Systems for Amplifying Human Cognition.” The project explores the development of personalized generative AI systems designed to support human memory, planning, and creativity.
12.06.2025
Why Causal Reasoning Is Crucial for Reliable AI Decisions
MCML Research Insight - With Christoph Kern, Unai Fischer-Abaigar, Jonas Schweisthal, Dennis Frauen, Stefan Feuerriegel and Frauke Kreuter
As algorithms increasingly make decisions that impact our lives, from managing city traffic to recommending hospital treatments, one question becomes urgent: Can we trust them?