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Explaining AI explainability

Darwin AI CEO Sheldon Fernandez discusses generative synthesis and its role in producing compact, explainable neural networks in a podcast episode with Daniel Whitenack.

Jun 8 · · primary fetch1 sourceupdated Jun 8 ·

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. 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 – LinkedIn, X Daniel Whitenack – Website, GitHub, X Show Notes: Darwin AI FermiNets - a paper that…

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