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Explore techniques for verifying and synthesizing AI systems under uncertainty, focusing on model-based approaches and automation to ensure safety and dependability in various AI applications.
Explore quantum computing's potential impact on AI, examining promises, limitations, and realistic applications in machine learning and Bayesian network inference.
Explore challenges and opportunities of data-driven learning in physical robots for neurorehabilitation. Discover applications in balance assistance, fall detection, and intelligent robotic devices for rehabilitation.
Explore robot learning through interaction, covering supervised, imitation, reinforcement, and interactive learning methods. Gain insights into motor skill acquisition and human-robot collaboration.
Explore the integration of learning and reasoning in AI, focusing on probabilistic logics and neuro-symbolic techniques. Gain insights from a leading expert in machine learning and artificial intelligence.
Explore probabilistic numerics in machine learning, bridging computation and inference. Gain insights into physics-informed ML and adaptive solver integration for enhanced efficiency in scientific computing.
Explore safe learning algorithms for robots in complex environments. Discover data-efficient, online methods guaranteeing safety and adaptability for real-world applications in robotics and AI.
Entdecke die Vorteile eines KI-Studiums an der RWTH Aachen. Erfahre von Perspektiven, Möglichkeiten und der Bedeutung von KI in der modernen Welt, präsentiert vom Leiter des Fachbereichs Informatik.
Erfahre, wie du KI an der RWTH Aachen studieren kannst. Entdecke Studiengänge, moderne Lehrmethoden und praxisnahe Projekte für eine vielversprechende Karriere in diesem zukunftsweisenden Bereich.
Explore the potential and limitations of AI as a universal problem-solving tool with Professor Dirk Helbing. Gain insights into complex dynamic systems and alternative approaches to addressing world problems.
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