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Link to World’s First Complete 3D Model of All Buildings Released

04.12.2025

World’s First Complete 3D Model of All Buildings Released

TUM News

A research team led by MCML PI Xiaoxiang Zhu has released the GlobalBuildingAtlas, the first global high-resolution 3D model of all buildings on Earth.Based on 2019 satellite data, the atlas includes more than 2.75 billion buildings worldwide. It offers a ground-breaking spatial resolution of 3×3 …

Link to When to Say “I’m Not Sure”: Making Language Models More Self-Aware

04.12.2025

When to Say “I’m Not Sure”: Making Language Models More Self-Aware

MCML Research Insight - With Yawei Li, David Rügamer, Bernd Bischl, and Mina Rezaei

Large language models like ChatGPT or Gemini are now everywhere, from summarizing text to writing code or answering simple questions. But there’s one thing they still struggle with: admitting uncertainty. Ask a fine-tuned LLM a tricky question, and it might sound quite confident, even when it’s …

Link to Research Stay at Princeton University

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 …

Link to MCML at NeurIPS 2025

28.11.2025

MCML at NeurIPS 2025

46 Accepted Papers (37 Main, and 9 Workshops)

We are happy to announce that MCML researchers have contributed a total of 46 papers to NeurIPS 2025: 37 Main, and 9 Workshop papers. Congrats to our researchers!

Link to Seeing the Bigger Picture – One Detail at a Time

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 dog, the ball, the grass) with the …

Link to InterACT Workshop 2025

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 …

Link to How Will Artificial Intelligence Redefine Medicine in the Next Decade?

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.

Link to Daniel Rückert Among the World’s Most Cited Researchers

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 …

Link to Research Stay at Stanford University

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 …

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