29

Jul

Teaser image to Can we think better, faster, and deeper with ChatGPT?

Panel

Can we think better, faster, and deeper with ChatGPT?

Panel discussion with our PI Albrecht Schmidt at the CDTM in Munich

   29.07.2024

   6:15 pm - 7:45 pm

   CDTM, Marsstraße 20, 80335 Munich

Join our PI Albrecht Schmidt and other leading researchers for an engaging panel discussion on the future of Artificial Intelligence (AI) at the CDTM in Munich.

​They will come together to explore how AI can(not) amplify our cognition. Can we think better, faster, and deeper with AI?

​Gain insights from an interesting panel discussion between leading minds in the field, ask questions, and engage in the ongoing discussion of our role as humans in the era of AI.

Organized by:

Center for Digital Technology and Management (CDTM)


Related

Link to Ähren im Wind – Political Orientation in Challenging Times

Panel  •  05.12.2024  •  Literaturhaus München, Salvatorplatz 1, 80333 Munich, Germany, In-Person and Live Stream

Ähren im Wind – Political Orientation in Challenging Times

Join Alena Buyx at the Munich panel "Political Orientation in Challenging Times ", as she explores ethics and responsibility in modern politics.


Link to ChatGPT and other Large Language Models in Teaching and Research

Keynote and Panel Discussion  •  24.06.2024  •  LMU Munich, Main Building, Große Aula

ChatGPT and other Large Language Models in Teaching and Research

Keynote by AI ethics expert Dr. Silvia Milano and a panel discussion moderated by Sven Nyholm, with professors Peter Adamson, Frauke Kreuter, and Albrecht Schmidt.


Link to Wie grün ist die KI?

Panel Discussion  •  11.06.2024  •  LMU Munich, Main Building, M210

Wie grün ist die KI?

AI's ambivalent role in sustainability involves high energy use and vital data analysis. Experts discuss this and answer audience questions on its impact.


Link to Generative AI in the Industry, Media, and Beyond. Chances and Challenges of Stable Diffusion

Panel discussion  •  13.07.2023  •  CAS Munich

Generative AI in the Industry, Media, and Beyond. Chances and Challenges of Stable Diffusion

This panel explores the transformative potential, challenges, and changes brought by Stable Diffusion.


Link to Opportunities and Limitations for Deep Learning in the Sciences

Round-Table  •  22.05.2023  •  LMU Munich

Opportunities and Limitations for Deep Learning in the Sciences

Philipp Grohs, University of Vienna, examines the potential and constraints of utilizing deep learning methods in computational sciences.