Distributed artificial intelligence

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Related lectures (30)

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Autonomous Vehicles: Intelligence and Perception

Explores intelligence, perception, and AI applications in autonomous vehicles, emphasizing rational thinking and social intelligence.

Provably Beneficial AI: Towards Human-level Understanding

Explores provably beneficial AI, aligning AI goals with human preferences and behaviors, illustrating complexities through examples like image classification and fetching coffee.

AI Gamer: D4

Explores reinforcement learning in AI to master games using neural networks.

Agent Platforms: Types, Intelligence, and Communication

Explores agent platforms, intelligence, and communication models in multiagent systems.

Learning and Control for Complex Systems

Explores learning and control for complex systems, addressing challenges and opportunities in technology and interdisciplinary research.

Non-Conceptual Knowledge Systems

Delves into the impact of deep learning on non-conceptual knowledge systems and the advancements in transformers and generative adversarial networks.

Artificial Intelligence and Machine Learning

Covers artificial intelligence, machine learning, blockchain, and technology applications.

Intelligent Systems for Health and Medicine

Explores AI in Health and Medicine, predicting heart attacks and detecting skin cancer.

Deep Learning: Fundamentals

Covers the fundamentals of deep learning, from artificial neurons to modern networks.

Distributed Machine Learning: Algorithms and Challenges

Explores distributed machine learning algorithms, adaptive methods for attention models, collaborative learning, and open problems in the field.