Distributed AI
Join renowned technologist and Stanford lecturer Timothy Chou as he explores the future of artificial intelligence, distributed systems, and cutting-edge innovation in the Distributed AI Podcast. Each episode features in-depth conversations with industry pioneers, academic experts, and visionary entrepreneurs shaping the decentralized AI landscape. From federated learning and privacy-preserving AI to revolutionary applications in healthcare, finance, and beyond, this podcast dives into the technical challenges and transformative opportunities driving the AI revolution.
Notable guests include leaders like Andrew Wheeler from HP Labs on next-generation AI infrastructure, Hina Dixit of Decomp Compute on democratizing AI tools, and Prashant Shah from Intel on scaling federated learning with confidential computing. The podcast also highlights the contributions of forward-thinkers like Nic Lane of Flower Labs, who explores the potential of distributed AI to harness untapped global data, and Dr. Berivan Isik of Google, whose work on efficient and trustworthy machine learning is setting new standards.
Whether you're an AI enthusiast, developer, or executive looking to leverage the power of distributed intelligence, this podcast provides the insights and inspiration to navigate this dynamic field. Tune in to discover how distributed AI is reshaping industries and building a more connected, privacy-centric future.
Distributed AI
E1: Protecting Privacy in AI: Prashant Shah on Confidential Computing and Federated Learning
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Our guest Prashant Shah, Chief Technology Officer of Federated Machine Learning at Intel, discusses the transformative power of Federated learning and confidential computing in healthcare. He explores how these technologies enable secure collaboration on sensitive healthcare data, driving innovation while ensuring patient privacy.
This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.