13.08.2024

Teaser image to MCML PI Reinhard Heckel about the importance of data in AI

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.

13.08.2024


Subscribe to RSS News feed

Related

Link to Angela Schoellig on the BR Podcast

19.02.2025

Angela Schoellig on the BR Podcast

Our PI, Angela Schoellig, discussed the vital role of mathematics in robotics and everyday life on the Blaue Couch podcast.


Link to Reinhard Heckel on Bayerischer Rundfunk

14.02.2025

Reinhard Heckel on Bayerischer Rundfunk

Reinhard Heckel spoke on BR24 about OpenAI's new Munich office, highlighting the city's deeptech scene, talent, and innovation potential.


Link to Benjamin Lange on ZDF heute journal

14.02.2025

Benjamin Lange on ZDF Heute Journal

Benjamin Lange was on heute journal discussing AI in universities. He highlighted that writing is key to thinking and shouldn’t be fully automated.


Link to Gitta Kutyniok on Supporting Companies with the EU’s AI Act

14.02.2025

Gitta Kutyniok on Supporting Companies With the EU’s AI Act

Gitta Kutyniok and her team at LMU are helping companies navigate the challenges of the EU’s AI Act, focusing on practical solutions and innovation.


Link to Improving Business Processes

06.02.2025

Improving Business Processes

Gabriel Marques Tavares, MCML Junior Member and LMU PostDoc, explores Process Mining to optimize workflows and promote data-driven decisions.