Neuroscience and AI: Bridging the Gap

This lecture explores the gap between artificial intelligence and human-level intelligence, focusing on areas such as intuitive understanding of the physical world, efficient learning, transfer learning, imagination, planning, and virtual brain analytics. It discusses how infants demonstrate learning abilities, causal relations, and common-sense understanding. The lecture also delves into deep generative models, neural network architectures, and planning algorithms inspired by neuroscience. It emphasizes the importance of efficient learning, transfer learning, and imagination in AI systems, drawing parallels with human cognitive processes.