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.

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.
Learn more

PIs at MCML

≈ 50
Principal Investigators

PhDs at MCML

120+
PhD Students

Publications of MCML

650+
Publications

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.

Research

MCML consists of about 50 excellent research groups both in the field of application-oriented ML and foundational research.

Opportunities

MCML is a dynamic and exciting place to work, study, and pursue research in the field of ML and AI.

Collaborations

MCML conducts ongoing collaborations with academia, industry, and society and provides a variety of services and partnership models.

Transfer Positions

Transfer Positions allow for the transfer of knowledge and technology from our center to the broader industry and society.

Team

Our team at is a dynamic and highly motivated group consisting of international experts in the fields of AI and ML, as well as talents in organization and communication.

Publications

Check out the publications by our members.

Latest News

Link to Our PI Alena Buyx on RBB Studio 3

23.11.2023

Our PI Alena Buyx on RBB Studio 3

Our PI and TUM professor Prof. Alena Buyx was a guest on the television show "Studio 3 - live aus Babelsberg"" on RBB. There, she talks about medicine and her role as a member of the German Ethics Council, as well as about ChatGPT, Deep Fakes and other topics regarding AI.

Link to Artificial intelligence: stemming the tide of fake facts

©Christoph Olesinski/LMU

22.11.2023

Artificial intelligence: stemming the tide of fake facts

Interview with our PI Prof. Stefan Feuerriegel

In this interview with LMU newsroom, our PI Prof. Feuerriegel talks about the danger of AI generated fake news. He explains what makes these campaigns so dangerous and how to counter them.

Link to Podcast: This is technology ethics

18.11.2023

Podcast: This is technology ethics

Machines as colleagues, friends and lovers

In the 8th episode of their podcast, our MCML PI Prof. Sven Nyholm and his co-host John Danaher talk about relationships with machines. Can you collaborate with a machine? Can robots be friends, colleagues or, perhaps, even lovers? These are just some of the questions addressed in this episode.

Link to Ranking highly cited researchers

15.11.2023

Ranking highly cited researchers

Eleven researchers among the world’s most cited - including two of our PIs

Every year the US company Clarivate publishes a list with the most cited scientists in their specific research areas or overall in different scientific areas. Our PIs Prof. Fabian Theis and Prof. Xiaoxiang Zhu are featured in their respective research areas.

Upcoming Events

Link to tba

Colloquium

16.12.2023, 16:15-17:45

LMU, Department of Statistics and via zoom

tba

tba

Frederick Conrad Michigan Program in Survey and Data Science

Link to Show & Tell Workshop on AI models and training data for journalism use cases

©612077081 via Adobe Stock

Workshop

18.01.2024

Munich, Germany

Show & Tell Workshop on AI models and training data for journalism use cases

In this workshop organized by BR (bavarian public broadcasting) researchers show each other the projects and methods they are working on in short pitches and subsequently explore possible collaborations on use cases and methods.

Link to 5th Workshop of Uncertainty in Machine Learning

Workshop

19–21.02.2024

LMU Munich, Main Building

5th Workshop of Uncertainty in Machine Learning

The 5th edition of the European Workshop on Uncertainty in Machine Learning (WUML) is organized locally by our PI Prof. Eyke Hüllermeier and his team. The goal of this workshop is to bring together researchers interested in the topic of uncertainty in machine learning. Every participant has the choice to give a talk, present a poster, or just attend the workshop without a presentation.

Link to Interdisciplinary College 2024: Resilience, Robustness, Responsibility

Summer School

01–08.03.2024

Lake Möhne, Germany

Interdisciplinary College 2024: Resilience, Robustness, Responsibility

Hosted by the Artificial Intelligence Section of the Gesellschaft für InformatikT (GI) the program has been around for about 20 years. This year the event offers an exciting lineup of courses, workshops, and activities that span various disciplines and promote collaborative, innovative thinking.