15
Jul
Munich AI Lectures
Physical AI: Promises and Challenges
Daniela Rus, Massachusetts Institute of Technology (MIT)
15.07.2024
5:00 pm - 7:00 pm
TU Munich, Institute for Advanced Study, Auditorium (Ground floor), Lichtenbergstraße 2a, 85748 Garching
On behalf of our partners at the Bavarian AI network baiosphere, the MCML cordially invites you to the Munich AI Lectures.
Daniela Rus, Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT, will discuss recent developments in machine learning and robotics, focusing on how machines think, how they are designed, and how they learn.
Organized by:
baiosphere
Bavarian Academy of Science and Humanities
Helmholtz Munich
LMU Munich
TUM
AI-HUB
LMU
ELLIS Munich Unit
Konrad Zuse School of Excellence in Reliable AI
MCML
Munich Data Science Institute
TUM
Munich Institute of Robotics and Machine Intelligence
TUM
Related
©jittawit.21 - stock.adobe.com
AI Keynote Series • 20.11.2025 • Online via Zoom
Distilling Heterogeneous Treatment Effects: Stable Subgroup Estimation in Causal Inference
Join the lecture with Melody Huang from Political Science and Statistics & Data Science at Yale University.
©jittawit.21 - stock.adobe.com
AI Keynote Series • 13.11.2025 • Online via Zoom
Personalized Care Through Causal & Federated Learning: From Data to Decisions
Join the lecture with Julie Josse from French National Instiute for Research in Digital Science and Technology (Inria).