Professor & Author Melanie Mitchell and Jim have a wide-ranging talk about her work in the field of Artificial Intelligence (AI). They explore the differences between deep learning, symbolic techniques & hybrid systems, AI springs/winters & hype cycles, self-driving cars, strong (general) vs weak (narrow) intelligence, the black-box element of human & artificial intelligence, limitations of neural nets, the potential of evolutionary approaches to AI, embodied & social cognition, whether consciousness is needed for intelligence, reinforcement learning, common sense & understanding in AI, the value of metaphors & analogies in intelligence, and much more.
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