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Home > Practical AI > Explaining AI explainability


	Podcast:		Practical AI
	Episode:		Explaining AI explainability
	Category:		Technology
	Duration:		00:46:40
	Publish Date:		2020-06-08 12:35:00
	Description:		The CEO of Darwin AI, Sheldon Fernandez, joins Daniel to discuss generative synthesis and its connection to explainability. You might have heard of AutoML and meta-learning. Well, generative synthesis tackles similar problems from a different angle and results in compact, explainable networks. This episode is fascinating and very timely. Discuss on Changelog News Sponsors Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code `changelog2019` OR `changelog2020`. To learn more and get started head to linode.com/changelog. The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring Sheldon Fernandez – Twitter, LinkedIn Daniel Whitenack – Twitter, GitHub, Website Notes and Links Darwin AI FermiNets - a paper that introduces the idea of generative synthesis. COVID-Net - Darwin AI’s COVID-related computer vision model. NLP highlights podcast episode on Behavioral Testing - behavioral tests Sheldon’s explainability primer on medium
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