Evolving AI Systems Gracefully with Stefano Soatto

EPISODE 502
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About this Episode

Today we're joined by Stefano Soatto, VP of AI applications science at AWS and a professor of computer science at UCLA. Our conversation with Stefano centers on recent research of his called Graceful AI, which focuses on how to make trained systems evolve gracefully. We discuss the broader motivation for this research and the potential dangers or negative effects of constantly retraining ML models in production. We also talk about research into error rate clustering, the importance of model architecture when dealing with problems of model compression, how they've solved problems of regression and reprocessing by utilizing existing models, and much more.
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Thanks to our sponsor Amazon Web Services

You know AWS as a cloud computing technology leader, but did you realize the company offers a broad array of services and infrastructure at all three layers of the machine learning technology stack. In fact, tens of thousands of customers trust AWS for machine learning and artificial intelligence services, and the company aims to put ML in the hands of every practitioner with innovative services like Amazon CodeWhisperer, a new ML-powered pair programming tool that helps developers improve productivity by significantly reducing the time to build software applications.

To learn more about AWS ML and AI services, and how they’re helping customers accelerate their machine learning journeys, visit twimlai.com/go/awsml.

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