Home | News

27.07.2022

Teaser image to Great success for AI research in Munich

Great Success for AI Research in Munich

LMU News

The Munich Center for Machine Learning (MCML), a joint initiative of LMU and TUM, has been granted funding as a permanent establishment following a positive evaluation.

«MCML offers a very attractive scientific environment with excellent opportunities for cooperation. Obtaining permanent funding from the federal and state governments is a great success and testifies to the outstanding quality of MCML. It enables participating scientists in Munich to further advance their machine learning research projects.»
(Professor Bernd Huber - LMU President )

«The decision by federal and state governments to make MCML a permanently funded center of excellence is a clear marker of the success of our One Munich strategy. By pooling our strengths, we want to drive forward future development in the domain of artificial intelligence. This will make Munich an even stronger magnet for young talents.»
(Professor Thomas F. Hofmann - TUM President)

#community #research

Related

Tiny logo
Link to MCML at ICML 2026

03.07.2026

MCML at ICML 2026

MCML researchers are represented with 76 papers at ICML 2026 (64 Main, and 12 Workshops).

Read more
Link to Study reveals privacy risks in medical AI

02.07.2026

Study Reveals Privacy Risks in Medical AI

Study led by MCML Director Daniel Rückert reveals higher privacy risks in medical AI models.

Read more
Tiny logo
Link to MCML at ACL 2026

01.07.2026

MCML at ACL 2026

MCML researchers are represented with 36 papers at ACL 2026 (20 Main, 15 Findings, and 1 Workshop).

Read more
Link to MCML Junior Members Featured in BR Abendschau

30.06.2026

MCML Junior Members Featured in BR Abendschau

LMU researchers are putting different large language models head-to-head to find out which one delivers the most accurate predictions.

Read more
Link to Stefan Feuerriegel Featured in tagesschau

29.06.2026

Stefan Feuerriegel Featured in Tagesschau

LMU researchers are putting different large language models head-to-head to find out which one delivers the most accurate predictions.

Read more
Back to Top