©MCML
19.12.2024
Epistemic Foundations and Limitations of Statistics and Science
Blogpost on the Replication Crisis
The Open Science Initiative in Statistics and the MCML recently hosted a workshop about epistemic foundations and limitations of statistics and science. The event brought together researchers from diverse fields to discuss one of science’s most …
©TUM
17.12.2024
Daniel Rückert Advances Stroke Diagnosis With AI Innovation
TUM News Article
MCML Director Daniel Rückert and his collaborators have achieved a groundbreaking milestone in medical AI. Their innovative model uses machine learning to precisely determine the timing of strokes based on CT imaging. This advancement is critical for …
©LMU
13.12.2024
Björn Ommer Receives 2024 Eduard-Rhein-Foundation Technology Prize
Honored for Breakthroughs in Latent Diffusion Models and Text-to-Image Generation
Our Principal Investigator Björn Ommer has been awarded the prestigious Eduard-Rhein-Foundation Technology Prize 2024 for his contributions to latent diffusion models and text-to-image generators. This award recognizes his globally acclaimed innovations, which have significantly advanced the field. The award ceremony will take place on Saturday, 24 …
©MCML
12.12.2024
MCML Job Vacancy
MCML Science Manager for PhD Program and International PhD Collaborations (M/F/X) @TUM
Join the MCML team as a Science Manager for International PhD Collaborations and help run our PhD program, including planning events and workshops for the next generation of AI researchers. Application deadline: 06.01.2025 Find more details on the TUM Job Portal.
12.12.2024
Digdeep Podcast: Why Doesn't Google Know What We Really Want, Julia Urbahn?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In episode 128 of #digdeep, Dr. Julia Urbahn, founder of the Swiss market research institute Intervista, joins as the guest. Intervista specializes in qualitative surveys, price analyses, and other insights for both B2C and B2B markets. The discussion focuses on the continued importance of traditional market research in an era dominated by digital …
©TUM
11.12.2024
MCML Director Daniel Rückert Receives Leibniz Prize
TUM News Article
MCML Director Daniel Rückert receives the Gottfried Wilhelm Leibniz Prize 2025. He is being honored for his research on AI-assisted medical imaging. The most important German research prize is endowed with 2.5 million euros by the German Research Foundation (DFG). Congrats from us, Daniel!
11.12.2024
Understanding Vision Loss and the Need for Early Treatment
Researcher in Focus: Jesse Grootjen
MCML Junior Member Jesse Grootjen is writing his doctoral thesis at the Chair of Human-Centered Ubiquitous Media at LMU Munich. The group conducts research at the crossroads of human computer interaction, media technology, and ubiquitous computing. The overall research question is: how can we enhance human abilities through digital technologies?
©peopleimages- stock.adobe.com
10.12.2024
MCML Featured in Bildung+ Schule Digital Magazine
KITrans: Learning and Understanding AI
The Munich Center for Machine Learning (MCML) is highlighted in the latest issue of Bildung+ Schule Digital Magazine for its role in the innovative KITrans project. KITrans is an innovative educational project bringing accessible AI learning formats to classrooms. Together with Prof. Uta Hauck-Thum from LMU Munich and Junge Tüftler, the project …
©TUM
09.12.2024
MCML Director Daniel Cremers on AI's Role in Improving Lives
TUM News Article
In a recent interview, our director, Daniel Cremers, highlighted how AI innovations aim to simplify and enhance daily life. His work emphasizes developing reliable, user-friendly AI systems while addressing ethical challenges and societal impacts. Prof. Cremers’ research in mathematics and machine learning helps shape AI’s future as a positive …
©TUM
05.12.2024
Matthias Nießner Awarded ERC Consolidator Grant
TUM News Article
Our Principal Investigator, Matthias Nießner, has been awarded the prestigious ERC Consolidator Grant for his research in computer vision and machine learning. His work focuses on developing advanced methods for 3D reconstruction, visual computing, and AI-driven content creation, with applications ranging from virtual environments to realistic …