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.
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crucial and real-time insights for everything from urban planning to emergency response where official records might be outdated.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
#blog #research #zhu
Related

09.10.2025
Rethinking AI in Public Institutions - Balancing Prediction and Capacity
Unai Fischer Abaigar explores how AI can make public decisions fairer, smarter, and more effective.

08.10.2025
MCML-LAMARR Workshop at University of Bonn
MCML and Lamarr researchers met in Bonn to exchange ideas on NLP, LLM finetuning, and AI ethics.


08.10.2025
Three MCML Members Win Best Paper Award at AutoML 2025
Former MCML TBF Matthias Feurer and Director Bernd Bischl’s paper on overtuning won Best Paper at AutoML 2025, offering insights for robust HPO.

29.09.2025
Machine Learning for Climate Action - With Researcher Kerstin Forster
Kerstin Forster researches how AI can cut emissions, boost renewable energy, and drive corporate sustainability.