In this forward-looking talk, Associate Professor Efstratios Gavves (University of Amsterdam) explores how causal machine learning can bridge the gap between AI and real-world applications. Drawing from his academic work and entrepreneurial experience at Ellogon AI, Gavves outlines the road to cyber-physical AI, where reasoning, physics, memory, and grounding in reality converge.

AI
Auditorium
Efstratios Gavves
16:20 – 16:50

Casual Machine Learning for the Real World