The MCML is a top place for Artificial Intelligence and Machine Learning
research in Europe

26.09.2023

MCML´s PI Prof. Sven Nyholm launched his new podcast

Our MCML PI Sven Nyholm recently launched his new Podcast 'This is Technology Ethics'. In nine episodes he will discuss topics from his book 'This is Technology Ethics: An Introduction'. The first two episodes are already available.

26.09.2023

Our DSSG team visited Berlin

Our Data Science for Social Good (DSSG) fellows had the privilege of visiting the Bundeskanzleramt and meeting members of the German Parliament in Berlin. Our team also got a tour at the Bundeskanzleramt and a presentation of the newly founded Datalab.

21.09.2023

Four MCML members received the Best Paper Award at the ECML PKDD 2023

Our MCML PIs Bernd Bischl, Stephan Günnemann and David Rügamer and MCML PhD Lisa Wimmer received the Best Paper Award for the Research Track at the ECML PKDD 2023 with their paper 'Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry'. The paper is a joint work with J. G. Wiese and T. Papamarkou.

20.09.2023

Our PI Feuerriegel was featured by FAZ

Discussing his research on Russian Propaganda-Bots on X

A new empirical study by MCML researchers analyzes the workings of russian bots on X/Twitter in relation to the war in Ukraine. It was featured in a new article by the German magazine FAZ.

27.09.2023, 18:00-22:00, Institute for Statistics LMU

Workshop

Space Telerobotics: Orchestrating Mars Exploration from Orbit

Women in AI & Robotics Community Meetup in Munich

Featuring a keynote presentation by Anne Köpken from the German Aerospace Center. The session will delve into the Surface Avatar Project, a joint initiative by the German Aerospace Center and the European Space Agency to advance space telerobotics for Mars exploration and habitat establishment. Attendees will have the opportunity for networking and discussion post-presentation.

28.09.2023, Münchner Künstlerhaus, Lenbachplatz 8, 80333 München

Closing Ceremony

Join Us for the DSSGx Closing Ceremony

Keynote: Robust data science: lessons learned from medical applications

The DSSGx 2023 Munich program has been an incredible journey. At the closing ceremony, our outstanding fellows will showcase the impressive projects and outcomes they achieved over the course of the program.

Professor Leah J. Welty Institute for Public Health & Medicine, Northwestern University

29.09.2023, 14:15–15:30, Plenarssitzungssaal, BAdW

Presentation

From Machine Learning to Autonomous Intelligence

Prof. Dr. Yann LeCun will propose a possible path towards autonomous intelligent agents, based on a new modular cognitive architecture and a somewhat new self-supervised training paradigm.

Prof. Dr. Yann LeCun Courant Institute of Mathematical Sciences at New York University, Meta

05.10.2023, 10:00, IBE Bibliothek

Presentation

Replicability of Simulation Studies for the Investigation of Statistical Methods: The RepliSims Project

In the RepliSims project, we assessed replicability of eight highly cited statistical simulation studies in teams of replicators based on reported information in the original publications. The talk will go over the lessons learned from this replication endeavor as well as the findings on replicability of the evaluated studies.

Kim Luijken University Medical Center Utrecht