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.
Girls’Day 2024 is just around the corner! To support the professional growth of more women in technical professions, the MCML offers interested girls the opportunity to delve into the everyday life of AI researchers and data scientists. To this end, …
©Astrid Eckert - TUM
In this interview, our PI Stephan Günnemann explains the important and central differences between the terms AI, automation and machine learning. Furthermore, he discusses the fundamental technical aspects of artificial intelligence and shares his …
©MCML & V. Hofmann - LMU
Former MCML Junior Member Valentin Hofmann concentrates his research on the language analysis of AI models. He explores various aspects, including how AI can better comprehend complex words.
Colloquium • 28.02.2024 • LMU Department of Statistics and via zoom
4:15 pm - 5:45 pm
Many researchers have pondered the same existential questions since the release of ChatGPT: Is scale really all you need? Will the future of machine learning rely exclusively on foundation models? Should we all drop our current research agenda and …
Vincent Fortuin Helmholtz AI
Spring School • 01.03.2024 - 08.03.2024 • Lake Möhne, Germany
The Interdisciplinary College is an annual, intense one-week spring school designed to bring together researchers and students from diverse academic backgrounds who share a passion for interdisciplinary learning and research - whether Neuroscience, …
Conference • 07.03.2024 - 08.03.2024 • LMU Munich
Data science plays a major role in science, industry, and business, and close collaboration between all parties involved is necessary. The German Data Science Days (GDSD) provide the ideal platform for such collaboration: They bring together data …