Neural Network Abstractions
Keith and Mark delve into the essence of artificial neural networks, questioning what elements are missing to achieve human-like intelligence. They explore the level of abstraction in modeling neural firing frequencies and computational processes, sparking a thought-provoking discussion on the computational nature of the brain.In this clip
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Machine Learning Street Talk (MLST)
#56 - Dr. Walid Saba, Gadi Singer, Prof. J. Mark Bishop (Panel discussion)
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