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 PhD student in the group of our PI Xiaoxiang Zhu, who’s decoding the world around us with geo-tagged social media data.
Shanshan’s research uses AI, including large language models, to understand the function of buildings based on the context of social media posts. This goes beyond traditional mapping, offering crucial and real-time insights for everything from urban planning to emergency response where official records might be outdated.
Watch the video to learn how AI can shape a safer online environment. 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
Related
11.12.2025
From Sitting Dog to Standing: A New Way to Morph 3D Shapes
ICLR 2025 work by Lu Sang and Daniel Cremers in collaboration with U Bonn enables smooth, physics-aware 3D shape deformation from point clouds.
©BAdW / Karl Neunert
08.12.2025
Tom Sterkenburg Wins Karl-Heinz Hoffmann Prize of the Bavarian Academy of Sciences
MCML JRG Leader Tom Sterkenburg receives the Karl-Heinz Hoffmann Prize of the BAdW for his interdisciplinary research.
©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.