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.
This video is part of the project KI Trans, an initiative in collaboration with TüftelLab and Uta Hauck-Thum from Ludwig-Maximilians-Universität München, focused on equipping teachers with the essential skills to navigate AI in schools. The project is funded by the Bundesministerium für Forschung, Technologie und Raumfahrt as part of DATIpilot.
©MCML
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©Juli Eberle / TUM / ediundsepp Gestaltungsgesellschaft
04.12.2025
World’s First Complete 3D Model of All Buildings Released
Xiaoxiang Zhu’s team releases GlobalBuildingAtlas, a high-res 3D map of 2.75B buildings for advanced urban and climate analysis.
04.12.2025
When to Say "I’m Not Sure": Making Language Models More Self-Aware
ICLR 2025 research by the groups of David Rügamer, and Bernd Bischl introduces methods to make LLMs more reliable by expressing uncertainty.
©MCML
01.12.2025
Research Stay at Princeton University
Abdurahman Maarouf spent three months at Princeton with the AI X-Change Program, advancing causal ML and studying short-form video platform effects.
28.11.2025
MCML at NeurIPS 2025
MCML researchers are represented with 46 papers at NeurIPS 2025 (37 Main, and 9 Workshops).
