©MCML
23.12.2024
Collaboration Between TUM and Stanford (Framework)
Funded by the MCML AI X-Change Program and BaCaTeC
During the summer of 2024, I had the privilege of representing the Computer Vision Group at TUM, led by Prof. Daniel Cremers, in a collaborative research project with the Geometric Computing Group at Stanford University, headed by Prof. Leonidas …
©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 improving stroke diagnosis and ensuring patients receive timely and effective treatment. By …
©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 …