16.12.2025
Xiaoxiang Zhu Featured in Focus Online on Global 3D Building Atlas
AI-Driven 3D Mapping Reveals Urbanization, Infrastructure, and Social Insights
Our PI Xiaoxiang Zhu and her team have created a Global Building Atlas, mapping 2.75 billion buildings in 3D. Using satellite data and AI, the atlas captures building footprints, geometry, and height, providing insights into urbanization, housing, and infrastructure. The project introduces building volume per capita as a new indicator for living space and social inequalities, and supports planning for energy, environment, and disaster management.
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FIFA World Cup: How Well Can AI Predict Sports Results?
LMU researchers are putting different large language models head-to-head to find out which one delivers the most accurate predictions.
12.06.2026
MCML PI Tom Sterkenburg Receives 2026 Simon Award
Tom Sterkenburg receives the 2026 Simon Award for research at the intersection of computing, philosophy, and machine learning.