Escaping the "dark ages" of AI infrastructure

What this episode covers

Evan Sparks, from Determined AI, helps us understand why many are still stuck in the “dark ages” of AI infrastructure. He then discusses how we can build better systems by leveraging things like fault tolerant training and AutoML. Finally, Evan explains his optimistic outlook on AI’s economic and environmental health impact.Sponsors:DigitalOcean – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at do.co/changelog. Featuring:Evan Sparks – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Determined AIPrevious episode on Alpha pilotBlog post - AI Leadership And The Positive Impacts On Economy, Privacy, Environmental HealthBlog post - Announcing the future of AI infrastructureApache SparkMLlibAntique Candle Co.Joel Grus on AI code that facilitates good scienceUpcoming Events: Register for upcoming webinars here!

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How long is this episode of Changelog Master Feed?

This episode is 50 minutes long.

When was this Changelog Master Feed episode published?

This episode was published on December 16, 2019.

What is this episode about?

Evan Sparks, from Determined AI, helps us understand why many are still stuck in the “dark ages” of AI infrastructure. He then discusses how we can build better systems by leveraging things like fault tolerant training and AutoML. Finally, Evan...

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