Abstract
Join us in exploring the latest advancements in active inference and distributed intelligence
Modern distributed systems must operate under uncertainty, across environments, infrastructures, and applications that vary widely. Within the Computing Continuum (IoT-Edge-Fog-Cloud), applying neuroscience-inspired principles and mechanisms may help us build more flexible solutions that can generalize across diverse settings. Intriguing hypotheses in neuroscience propose that many brain functions in humans and animals arise from a small number of powerful principles. If these hypotheses hold, they could offer deep insight into how humans and animals cope with unpredictable events—and even support imagination. In this talk, we explore how Active Inference, alongside established design principles for modern distributed systems—such as elasticity, predictive equilibrium, and antifragility—can enable Distributed Intelligence across the Computing Continuum.
Dr. Schahram Dustdar
TU Wien, Austria and ICREA Barcelona
Biography
Schahram Dustdar is a Full Professor of Computer Science at TU Wien, where he leads the Distributed Systems Group, and he is also affiliated as an ICREA research professor at Universitat Pompeu Fabra (UPF) in Barcelona. He is widely known for pushing the frontier of elastic, dependable cloud-to-edge systems and the Computing Continuum, turning cutting-edge research into practical foundations for modern distributed intelligence. An IEEE Fellow, ACM Distinguished Scientist/Speaker, and member of Academia Europaea, he’s a sought-after keynote speaker recognized for shaping how large-scale systems adapt, scale, and stay resilient in the real world.
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