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ICLR 2020: Yoshua Bengio and the Nature of Consciousness

Machine Learning Street Talk (MLST)

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Cognitive Systems and Neural Architectures

This chapter explores the interaction between two cognitive systems, system one and system two, and their implications for neural network architectures. It highlights the significance of attention mechanisms, grounded language learning, and the relationship between consciousness and language in shaping machine learning approaches. The discussion also delves into factor graphs and the complexities of learning abstract concepts while adapting to new information.

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