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TinyML, Big Impact: Democratizing AI with the Extreme Edge

Author:

Prof. Eiman Kanjo

Visitng Professor TinyML

Imperial College London

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Reliability, Resilience, and ML Serving in Large Scale Systems (Building AI infrastructure for both research and user-facing products, and bridging the gap between)

Author:

Dylan Curley has spent the majority of his career in AI from a software engineering background. He focuses on large scale AI systems infrastructure, automation, scaling, and reliability. These days Dylan manages a team of SREs (reliability engineers) at Google, who are responsible for the vast majority of AI systems across Alphabet including launching & operating the latest advances in Generative AI (Bard, Workspace, Search, YouTube, etc). He has also spent time working on AI for medical research and astrophysics, and advises startups in AI.