We attract the most promising researchers from all career levels to our center and transfer innovations and AI potential to industry and society.
MCML is one of six national AI Competence Centers. It is funded on a permanent basis by the German and Bavarian government's AI strategy, and brings together the leading ML researchers from LMU, TUM and associated institutions.
Unite leading researchers in Germany, to strengthen international, national and regional competence in the field of ML and AI. We foster talent and make corresponding potential accessible to users from science, industry and society.
07.01.2025
The first 2025 episode of #digdeep reflects on twelve exciting topics and interviews in 2024 that inspired both podcast creators and listeners. Whether in mechanical engineering, where even medium-sized companies can get ahead with attractive digital …
©MCML
07.01.2025
During the summer of 2024, I had the privilege of representing the Computer Vision Group at TUM, led by Prof. Daniel Cremers, in a collaborative research project with the Geometric Computing Group at Stanford University, headed by Prof. Leonidas …
©Astrid Eckert / TUM
07.01.2025
Our PI, Angela Dai, focuses on the application of artificial intelligence to design and optimize complex systems. Her research contributes to the development of AI technologies that enable faster and more efficient designs in the automotive …
15
Jan
©LRZ
Workshop • 15.01.2025 • Online via zoom
10:00 am - 11:30 am
Join an exclusive 90-minute online workshop hosted by the Leibniz Supercomputing Centre (LRZ) and Cerebras Systems on January 15, 2025, at 10 AM CET. At this workshop, the Cerebras team will present their latest technological advancements and …
15
Jan
Colloquium • 15.01.2025 • LMU Department of Statistics and via zoom
4:00 pm - 6:00 pm
This talk introduces a novel approach to modeling densities influenced by scalar covariates using structured additive regression models in Bayes Hilbert spaces. This framework handles continuous, discrete, and mixed densities, ensuring nonnegativity …