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#54 Gary Marcus and Luis Lamb - Neurosymbolic models

Machine Learning Street Talk (MLST)

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Redefining Intelligence in AI

This chapter explores the limitations of current deep learning models and emphasizes the need for AI systems that understand and abstract knowledge through analogy. It critiques traditional views of intelligence, advocating for hybrid approaches that combine symbolic and connectionist methods to enhance machine understanding. The discussion also reflects on historical perspectives in programming semantics, underscoring the relevance of foundational principles for future advancements in AI.

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