Melanie Mitchell is one of the leading AI researchers in the world. She is Professor at the Santa Fe Institute. Her current research focuses on conceptual abstraction and analogy-making in artificial intelligence systems. Melanie is the author or editor of six books and numerous scholarly papers in the fields of artificial intelligence, cognitive science, and complex systems. Her most recent book is entitled ‘Artificial Intelligence: A Guide for Thinking Humans’. This episode’s podcast covers: evolution of AI from cybernetics to neural networks and deep learning, how big (labelled) data helped AI, what intelligence is, and much more. 

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