28.05.2026
Angela Schöllig Featured in Süddeutsche Zeitung
Exploring Physical Intuition and the Limits of Language Models
MCML PI Angela Schöllig was recently featured in Süddeutsche Zeitung discussing whether current language models have hit a dead end.
Schöllig explored why AI systems excel at complex cognitive tasks but still lack a basic, intuitive understanding of the physical world. The discussion highlighted her work in bridging this gap to help robots safely navigate everyday human environments.
Her insights contribute to the broader debate on the future of AI development and practical robotics.
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MCML Junior Members Featured in BR Abendschau
LMU researchers are putting different large language models head-to-head to find out which one delivers the most accurate predictions.
29.06.2026
Stefan Feuerriegel Featured in Tagesschau
LMU researchers are putting different large language models head-to-head to find out which one delivers the most accurate predictions.
12.06.2026
Matthias Althoff Featured in Handelsblatt
MCML PI Matthias Althoff co-founded Sitegeist, a startup developing autonomous robots for infrastructure repair and concrete removal.
