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#54 Gary Marcus and Luis Lamb - Neurosymbolic models

Machine Learning Street Talk (MLST)

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Integrating Semantics in AI: Challenges and Insights

This chapter explores the complexities of incorporating semantics into machine learning, highlighting the essential need for a robust understanding to safely use AI in critical fields like medicine. It discusses the limitations of current models in understanding semantics, the necessity for symbolic reasoning, and the historical evolution of neural networks in language processing.

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