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In this episode, the Director of Architecture at NVIDIA, Dr. Magnus Ekman, joins Jon Krohn to discuss how machine learning, including deep learning, can optimize computer hardware design. The pair also review his exceptional book 'Learning Deep Learning.'\n\nIn this episode you will learn:\n\nWhat hardware architects do [10:15]\n\nHow ML can optimize hardware speed [ 13:19]\n\nMagnus\u2019s Deep Learning Book [21:14]\n\nIs understanding how ML models work important? [36:16]\n\nAlgorithms inspired by biological evolution [41:25]\n\nHow artificial general intelligence won\u2019t be obtained by increasing model parameters alone [51:24]\n\nWhy there will always be a place for CNNs and RNNs [54:51]\n\nHow people can "transition" realistically into ML [1:09:15]\n\n\nAdditional materials: www.superdatascience.com/575