13.08.2024
©TUM
MCML PI Reinhard Heckel About the Importance of Data in AI
TUM Research
In this interview, MCML PI Reinhard Heckel discusses the importance of data in the context of AI. He explains why data is the crucial component for generative AI, which methods can be used to prevent biases, and how data protection should be approached in the context of AI.
Related
20.11.2025
Zigzag Your Way to Faster, Smarter AI Image Generation
ZigMa, introduced by Björn Ommer’s group at ECCV 24, improves high-res AI image and video generation with fast, memory-efficient zigzag scanning.
13.11.2025
Anne-Laure Boulesteix Among the World’s Most Cited Researchers
MCML PI Anne‑Laure Boulesteix named Highly Cited Researcher 2025 for cross-field work, among 17 LMU scholars recognized globally.
13.11.2025
Björn Ommer Featured in Frankfurter Rundschau
Björn Ommer highlights how Google’s new AI search mode impacts publishers, content visibility, and the diversity of online information.
13.11.2025
Fabian Theis Among the World’s Most Cited Researchers
Fabian Theis is named a Highly Cited Researcher 2025 for his work in mathematical modeling of biological systems.