Escaping the "dark ages" of AI infrastructure
Podcast: Practical AIPublished On: Mon Dec 16 2019
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. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!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 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 Something missing or broken? PRs welcome! ★ Support this podcast ★
The note was deleted
The note was saved
Your message was sent