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Link to Nils Thuerey Develops New Method for Realistic Fluid Simulation

19.08.2025

Nils Thuerey Develops New Method for Realistic Fluid Simulation

TUM News Article

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.

Link to Mingyang Wang Receives Award at ACL 2025

18.08.2025

Mingyang Wang Receives Award at ACL 2025

Award for Impactful Contribution to Reliable and Inclusive NLP

MCML Junior Member Mingyang Wang 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 …

Link to Digital Twins for Surgery - With Researcher Azade Farshad

18.08.2025

Digital Twins for Surgery - With Researcher Azade Farshad

Research Film

Azade Farshad 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 preview procedures, spot …

Link to Digdeep Podcast: From University to CEO and Back – Entrepreneurship at LMU With Philipp Baaske

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 …

Link to From Physics Dreams to Algorithm Discovery - With Niki Kilbertus

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.

Link to Tracking Actions in Space and Time: ICCV 2025 Challenge & Workshop

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, …

Link to AI for Dynamic Urban Mapping - With Researcher Shanshan Bai

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 at TUM, who’s decoding the world around us with geo-tagged social media data.

Link to Precise and Subject-Specific Attribute Control in AI Image Generation

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 …

Link to What Is Intelligence—and What Kind of Intelligence Do We Want in Our Future? With Sven Nyholm

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.

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