03
May
![Teaser image to Artificial Intelligence in Culture and Arts: Nicola L. Hein](/images/logos/hmtm.png)
Artificial Intelligence in Culture and Arts: Nicola L. Hein
Module 1: Music, Sound and Composition
03.05.2023
5:00 pm - 6:30 pm
Online
Explore the synergy of human and machine creativity in 'Improvising Machines and Listening Humans' by Nicola L. Hein, Professor at Musikhochschule Lübeck. Witness the artistic collaboration between human musicians and virtual counterparts through Machine Learning for a harmonious musical experience.
Related
![Link to KI - Der Anfang vom Ende oder einfach nur nützlich?](/images/logos/bergson.webp)
©Bergson
Presentation • 14.10.2024 • Bergson Kunstkraftwerk Studio, Rupert-Bodner-Str. 5, 81245 München
KI - Der Anfang vom Ende oder einfach nur nützlich?
Together with Constanze Zawadzky (Innovation Park AI), MCML PI Reinhard Heckel will give interested parties an insight into the world of artificial intelligence.
![Link to Nachgefragt – Ethikgespräche an der LMU: Kann ChatGPT denken?](/images/events/2024-07-16-nachgefragt.webp)
©geralt - pixabay.com
Lecture • 16.07.2024 • LMU Munich, Main Building, M 210 und online via Zoom
Nachgefragt – Ethikgespräche an der LMU: Kann ChatGPT denken?
David Lauer from the University of Kiel questions if we're in the age of thinking machines, exploring what "thinking" means and AI's true capabilities and limitations …
![Link to Methodological Advances in Experimental Design](/images/logos/som-ki-keynotes.jpg)
©geralt - pixabay.com
Lecture • 16.07.2024 • LMU Munich, Seminar Room 211, 2/F, Ludwigstr. 28 (Front Building)
Methodological Advances in Experimental Design
Talk by Drew Dimmery from the Hertie School Data Science Lab, about improving experimental design for treatment assignment, HTE estimation, and online assignment.
![Link to Patient Risk Stratification through a Causal Lens](/images/logos/som-ki-keynotes.jpg)
©geralt - pixabay.com
Lecture • 09.07.2024 • LMU Munich, Seminar Room 211, 2/F, Ludwigstr. 28 (Front Building)
Patient Risk Stratification through a Causal Lens
The talk by Jenna Wiens from the University of Michigan examines why many sepsis risk tools fail and suggests using causal reasoning for better outcomes.
![Link to Large Language Models in the Age of Misinformation](/images/logos/som-ki-keynotes.jpg)
©geralt - pixabay.com
Lecture • 04.07.2024 • LMU Munich, Seminar Room 211, 2/F, Ludwigstr. 28 (Front Building)
Large Language Models in the Age of Misinformation
Francesco Pierri from Politecnico di Milano discusses the risks of generative AI, such as GPT-4 and Midjourney, in spreading disinformation and targeting individuals.