©MCML
01.12.2025
Research Stay at Princeton University
Abdurahman Maarouf – Funded by the MCML AI X-Change Program
From May to July, I spent three exciting months as a visiting researcher at the Computer Science Department of Princeton University, hosted by Prof. Manoel Horta Ribeiro. The visit grew out of a keynote Manoel gave at LMU. After his talk, we discussed potential joint projects at the intersection of …
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, University of Warsaw, University of Zurich, Norwegian …
©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 …