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.
©MCML
15.01.2025
In their recent work, “Liar, Liar, Logical Mire: A Benchmark for Suppositional Reasoning in Large Language Models” our Junior Member Philipp Mondorf and our PI Barbara Plank tackle a fascinating question: How well do AI systems handle complex reasoning tasks?
©Veronika Picmanova / Helmholtz Munich
14.01.2025
In the “Science Date” segment on “NANO,” our PI Fabian Theis discusses key questions on AI and its role in healthcare: Can we recreate the human brain? Will AI make humans obsolete? And how is AI transforming medical research? He suggests that AI can make healthcare more accessible, affordable, and …
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 concepts, or in medicine and healthcare, where new …
28
Jan
Lecture at MaiNLP Lab • 28.01.2025 • LMU Munich, Main Building, Geschwister-Scholl-Platz 1, Room A 140
2:00 pm - 3:00 pm
How can we develop NLP technology to effectively support cross-lingual communication, especially given recent progress in machine translation and multilingual language models? In this talk, I will present two main threads of work that aim to broaden …
29
Jan
Lecture at MaiNLP Lab • 29.01.2025 • LMU Munich, Main Building, Geschwister-Scholl-Platz 1, Room M 105
4:00 pm - 5:00 pm
I’ll discuss three projects related to understanding how people and AI-infused systems can and should interact. In the first, I’ll discuss AI communicating to people, in a shared environment, and how we can use highlighting and possible alternatives …
29
Jan
Colloquium • 29.01.2025 • LMU Department of Statistics and via zoom
4:00 pm - 6:00 pm
Convolutional neural networks (CNNs) excel in image recognition, showcasing remarkable performance in face recognition, medical diagnosis, and autonomous driving. However, their reliability remains a concern due to the lack of robust theoretical …