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ICLR 2020: Yoshua Bengio and the Nature of Consciousness

Machine Learning Street Talk (MLST)

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Exploring Generalization in AI

This chapter examines the various forms of generalization in machine learning, comparing traditional expert systems with modern deep learning models. It discusses the balance between efficient local generalization and the aspiration for broader, context-aware capabilities while critiquing the limitations of current approaches. The conversation emphasizes the integration of symbolic logic with advanced learning techniques to address uncertainties and enhance decision-making in artificial intelligence.

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