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ICLR 2020: Yoshua Bengio and the Nature of Consciousness

Machine Learning Street Talk (MLST)

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Exploring Consciousness in Deep Learning

This chapter delves into the intersection of deep learning and consciousness, examining how insights from consciousness studies can enhance model generalization and artificial intelligence. It explores various philosophical perspectives on consciousness, including simulation theory and the distinctions between cognitive function and self-awareness. The discussion emphasizes the potential for deep learning systems to leverage complex information processing in the pursuit of achieving human-like generalization capabilities.

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