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A top spot for AI and ML research in Europe

We attract the most promising researchers from all career levels to our center and transfer innovations and AI potential to industry and society.

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Who we are

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.

Our Vision

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.

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Latest News

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Link to Sarah Ball's Research Featured on on the LLM Cybersecurity Podcast

©LMU

20.01.2025

Understanding Jailbreak Success: A Study of Latent Space Dynamics in Large Language Models

We are happy to share that Sarah Ball, a PhD student at the Munich Center for Machine Learning, has had her research featured on the LLM Cybersecurity podcast by Ariel Fogel and Tyler Bettilyon. The discussion centered around Sarah’s paper, “Understanding Jailbreak Success: A Study of Latent Space …

Link to TruthQuest – A New Benchmark for AI Reasoning

©MCML

15.01.2025

TruthQuest – A New Benchmark for AI Reasoning

MCML Research Insight - With Philipp Mondorf and Barbara Plank

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?

Link to Fabian Theis Discusses AI’s Impact on Healthcare

©Veronika Picmanova / Helmholtz Munich

14.01.2025

Fabian Theis Discusses AI’s Impact on Healthcare

"Science Date" With Fabian Theis

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 …

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Next Events

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28

Jan

Link to Beyond Translation: Human-Centered NLP for Cross-Lingual Communication

 

Lecture at MaiNLP Lab  •  28.01.2025  •  LMU Munich, Main Building, Geschwister-Scholl-Platz 1, Room A 140

2:00 pm - 3:00 pm

Beyond Translation: Human-Centered NLP for Cross-Lingual Communication

Marine Carpuat, Associate Professor, University of Maryland

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

Link to AI Interacting With People (Through Language)

 

Lecture at MaiNLP Lab  •  29.01.2025  •  LMU Munich, Main Building, Geschwister-Scholl-Platz 1, Room M 105

4:00 pm - 5:00 pm

AI Interacting With People (Through Language)

Hal Daumé III, Professor, University of Maryland

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

Link to A Novel Statistical Approach to Analyze Image Classification

 

Colloquium  •  29.01.2025  •  LMU Department of Statistics and via zoom

4:00 pm - 6:00 pm

A Novel Statistical Approach to Analyze Image Classification

Sophie Langer, University of Twente

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 …

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