729: Universal Principles of Intelligence (Across Humans and Machines), with Prof. Blake Richards
Super Data Science: ML & AI Podcast with Jon Krohn
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Exploring the Intersection of AI, Neuroscience, and Reinforcement Learning
This chapter delves into the relationship between AI, neuroscience, and reinforcement learning, discussing topics such as brain function, credit assignment, and the dopamine reward system. The conversation highlights the similarities in how both human brains and AI systems solve complex tasks and achieve success through maximizing future rewards. The chapter critiques historical approaches in neuroscience experiments and emphasizes the need for more realistic scenarios to build accurate models of brain function.
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