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#54 Gary Marcus and Luis Lamb - Neurosymbolic models

Machine Learning Street Talk (MLST)

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Bridging the Gap: Hybrid Approaches in AI

This chapter examines the limitations of current AI systems in adapting and integrating knowledge across contexts, emphasizing the need for a hybrid neurosymbolic architecture. It highlights the importance of blending symbolic reasoning with deep learning to enhance cognitive modeling and improve AI capabilities. The discussion advocates for a shift in AI development to encompass richer cognitive principles, semantical understanding, and common sense reasoning.

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