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ICLR 2020: Yoshua Bengio and the Nature of Consciousness

Machine Learning Street Talk (MLST)

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Exploring Neural Networks and Consciousness

This chapter examines early exiting techniques in neural networks, particularly focusing on BERT models, and the challenges of explainability in machine learning. It discusses the interplay between human cognition and machine learning in understanding concepts, language, and consciousness. The dialogue investigates the limits of traditional vocabulary, the creation of new terms, and the implications for both language and cognitive processes.

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