575: Optimizing Computer Hardware with Deep Learning

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.'

An episode of the Super Data Science: ML & AI Podcast with Jon Krohn podcast, hosted by Jon Krohn, titled "575: Optimizing Computer Hardware with Deep Learning" was published on May 17, 2022 and runs 83 minutes.

May 17, 2022 ·83m · Super Data Science: ML & AI Podcast with Jon Krohn

Summary

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.' In this episode you will learn: What hardware architects do [10:15] How ML can optimize hardware speed [ 13:19] Magnus’s Deep Learning Book [21:14] Is understanding how ML models work important? [36:16] Algorithms inspired by biological evolution [41:25] How artificial general intelligence won’t be obtained by increasing model parameters alone [51:24] Why there will always be a place for CNNs and RNNs [54:51] How people can "transition" realistically into ML [1:09:15] Additional materials: www.superdatascience.com/575

Episode Description