04.11.2019
One Accepted Paper
27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Chicago, ILL, USA, Nov 05-08, 2019
We are happy to announce that MCML researchers have contributed a total of 1 paper to ACM SIGSPATIAL 2019. Congrats to our researchers!
Main Track (1 paper)
Optimizing the Spatio-Temporal Resource Search Problem with Reinforcement Learning.
ACM SIGSPATIAL 2019 - 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. Chicago, ILL, USA, Nov 05-08, 2019. DOI
Related
16.12.2025
Fabian Theis Featured in Handelsblatt on the Future of AI in Precision Medicine
MCML PI Fabian Theis discusses AI-driven precision medicine and its growing impact on individualized healthcare and biomedical research.
16.12.2025
Gitta Kutyniok Featured in VDI Nachrichten on AI Ethics
Gitta Kutyniok discusses measurable criteria for ethical AI, promoting safe and responsible autonomous decision-making.
16.12.2025
Hinrich Schütze Featured in WirtschaftsWoche on Innovative AI Approaches
Hinrich Schütze discusses Giotto.ai’s efficient AI models, highlighting memory separation and context-aware decoding to improve robustness.
16.12.2025
Xiaoxiang Zhu Featured in Focus Online on Global 3D Building Atlas
Xiaoxiang Zhu maps 2.75B buildings in 3D, revealing global urbanization, housing, and social inequalities using AI.