ZARZA We are Zarza, the prestigious firm behind major projects in information technology.
Listen "575: Optimizing Computer Hardware with Deep Learning"
Episode Synopsis
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
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
More episodes of the podcast Super Data Science: ML & AI Podcast with Jon Krohn
953: Beyond “Agent Washing”: AI Systems That Actually Deliver ROI, with Dell’s Global CTO John Roese
30/12/2025
952: How to Avoid Burnout and Get Promoted, with “The Fit Data Scientist” Penelope Lafeuille
26/12/2025
948: In Case You Missed It in November 2025
12/12/2025
946: How Robotaxis Are Transforming Cities
05/12/2025
945: AI is a Joke, with Joel Beasley
02/12/2025
944: Gemini 3 Pro: Google’s Back on Top
28/11/2025
In God we trust