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#54 Gary Marcus and Luis Lamb - Neurosymbolic models

Machine Learning Street Talk (MLST)

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Navigating Relational Learning Challenges

This chapter examines the hurdles neural networks face in understanding discrete relationships within natural language. It discusses the historical tension between learning and reasoning, emphasizing the need for integrating symbolic reasoning with deep learning practices. The conversation further highlights the parallels between human expertise in reasoning and the capabilities of AI systems, exploring potential advancements through neurosymbolic models and reinforcement learning.

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