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Related lectures (8)
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Layered control: Motor control in vertebrates to robots
Covers layered control architectures from vertebrates to robots, including deliberative control and its drawbacks.
Neural Taskonomy and Historical Perspectives in Visual Intelligence
Covers Neural Taskonomy, the evolution of neural networks, and historical perspectives in visual intelligence.
Sensorimotor Contingency: Amir Zamir
By Amir Zamir explores sensorimotor contingency, intelligence without representation, curriculum learning, and machine learning strategies.
Relative Stability Towards Diffeomorphisms in Deep Nets
Explores the impact of relative stability towards diffeomorphisms in deep neural networks and its correlation with performance.
Developmental Perspective & Spatial Vision
Discusses babies' developmental perspective and spatial vision, covering cues, motion processing, stereopsis, and curriculum learning.
Cognitive Network Components
Explores cognitive network components in the brain and methods to discover relevant functional compartments.
Leveraging Big Data Analytics
Explores key strategies for using big data analytics in managing urban infrastructures.
Neuroscience and ML
Explores the intersection between neuroscience and machine learning, discussing deep learning, reinforcement learning, memory systems, and the future of bridging machine and human-level intelligence.
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