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Explore the intersection of quantum computing and artificial intelligence in this 39-minute talk by Prof. Christian Bauckhage from the University of Bonn. Gain a brief introduction to quantum computing and its potential benefits, while critically examining the often exaggerated promises of quantum supremacy in machine learning and AI. Discover the realistic potential for quantum AI as Prof. Bauckhage demonstrates how quantum algorithms can accelerate Bayesian network inference. Learn from an expert in intelligent learning systems as he shares insights from his extensive research in data mining, pattern recognition, and machine learning, with a focus on hybrid systems integrating data- and knowledge-driven models and quantum computing for AI optimization problems.
Syllabus
AIC: Quantum Computing for AI – Hype or Hope?
Taught by
RWTH Center for Artificial Intelligence