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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.

PIs at MCML


Principal Investigators

Junior Members at MCML

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Junior Members

Publications of MCML

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Publications

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 Alfred-Breit-Prize for MCML PI

16.05.2024

Alfred-Breit-Prize for MCML PI

Julia Schnabel

Our PI Julia Schnabel was awarded the Alfred-Breit-Prize of the German Radiological Society (Deutsche Röntgengesellschaft).

Link to Humboldt Professorship for our PIs

16.05.2024

Humboldt Professorship for our PIs

Stefanie Jegelka and Suvrit Sra

We proudly announce that our PIs Stefanie Jegelka (Foundations of Deep Neural Networks) and Suvrit Sra (Resource Aware Machine Learning) have been honored with the prestigious Humboldt Professorship.

Link to Digdeep Podcast: Werden KI-Algorithmen unsere neuen Arbeitskollegen, Vlad Larichev?

09.05.2024

Digdeep Podcast: Werden KI-Algorithmen unsere neuen Arbeitskollegen, Vlad Larichev?

News from the Digital World by MCML PI Frauke Kreuter and Christof Horn

Generative KI, once hyped, now proves its transformative impact on various sectors, though still in nascent stages in many areas. Vlad Varichev, from Accenture, navigates the integration of AI into corporate processes, noting the rapid evolution from …

Next Events

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27

May

Link to Improving Motion Prediction in Autonomous Driving with Expert Knowledge - A Bayesian Deep Learning Approach

Lecture  •  27.05.2024  •  LMU Munich, Ludwigstr. 28 VG/II; Room 211b

4:30 pm - 6:00 pm

Improving Motion Prediction in Autonomous Driving with Expert Knowledge - A Bayesian Deep Learning Approach

Nadja Klein, TU Dortmund

Autonomous driving is one of the most highly anticipated yet elusive mobility innovations. The field has made significant advances through deep learning, especially in perception and motion prediction. Still, the field faces open challenges, since …

29

May

Link to tba

Colloquium  •  29.05.2024  •  LMU Department of Statistics and via zoom

4:15 pm - 5:45 pm

tba

Merle Behr, Universität Regensburg

03

Jun

Link to Explainable Methods for Reinforcement Learning

Colloquium  •  03.06.2024  •  LMU Department of Statistics and via zoom

4:15 pm - 5:45 pm

Explainable Methods for Reinforcement Learning

Jasmina Gajcin, Trinity College Dublin

Deep reinforcement learning (DRL) algorithms have been successfully devel- oped for many high-risk real-life tasks in many fields such as autonomous driving, healthcare and finance. However, these algorithms rely on neural networks, making their …