Escaping the "dark ages" of AI infrastructure
Dec 16, 2019•50 min•Ep. 69
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Episode description
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, X
- Chris Benson – Website, GitHub, LinkedIn, X
- Daniel Whitenack – Website, GitHub, X
Show Notes:
- Determined AI
- Previous episode on Alpha pilot
- Blog post - AI Leadership And The Positive Impacts On Economy, Privacy, Environmental Health
- Blog post - Announcing the future of AI infrastructure
- Apache Spark
- MLlib
- Antique Candle Co.
- Joel Grus on AI code that facilitates good science
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