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#56 - Dr. Walid Saba, Gadi Singer, Prof. J. Mark Bishop (Panel discussion)

Machine Learning Street Talk (MLST)

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Navigating AI: Insights and Challenges

This chapter explores the integration of Monte Carlo Tree Search and neural networks in AI, emphasizing their potential applications in strategy games. It discusses the complexities of human cognition compared to current AI models, highlighting the importance of embodied and enactive approaches. The conversation also addresses the limitations of deep learning and the need for better understanding of the human brain in the pursuit of artificial general intelligence.

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