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.

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28.04.2026

Björn Ommer: How AI Can Transform Society if We Use It Responsibly

MCML PI Björn Ommer explains the philosophy behind Stable Diffusion and why his team focuses on efficiency.

23.04.2026

When Vision AI Hallucinates Details

Why do vision-language models invent details? Our PI Zeynep Akata and her team present a fix for AI hallucinations at CVPR 2026.

22.04.2026

MCML at ICLR 2026

MCML researchers are represented with 36 papers at ICLR 2026 (33 Main, and 3 Workshops).

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Research Highlights from Germany’s AI Competence Centers

Several research projects associated with MCML are highlighted in the “Successes of German AI Research” overview.

16.04.2026

Welcoming Achim Lilienthal to MCML

Achim J. Lilienthal joins MCML as PI, focusing on perception systems, robotics, and AI in dynamic environments.

MCML PI Reinhard Heckel About the Importance of Data in AI

TUM Research

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