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
Latest Episodes
E12: Rene Haas on ARM, AI Infrastructure, and the Future of Computing
Rene Haas, CEO of ARM, joins Timothy Chou to discuss how ARM has become a foundational architecture for cloud, edge, and AI computing. He explains the shift from x86 dominance to ARM-based CPUs in hyperscale data centers, the rise of agentic wo...
E11: Accelerating Parkinson’s Disease Drug Development with Federated Learning Approaches with Dr Graham Jones
In this episode of the Distributed AI Podcast, Timothy Chou speaks with Dr. Graham Jones of Novartis about how federated learning and digital biomarkers could transform drug development for Parkinson’s disease. The conversation explores the ori...
E10: Scaling Federated Learning: From Research to Real-World Distributed AI with George Jeno
In this episode of the Distributed AI Podcast, Timothy Chou speaks with George Jeno, co-founder of TieSet, about his journey from academic research to building scalable federated learning infrastructure. The conversation explores the challenges...
E9: Federated Learning in Practice: Markus Bujotzek on Real-World AI for Radiology
Markus Bujotzek, PhD student at the German Cancer Research Center, joins host Timothy to unpack the challenges and successes of deploying real-world federated learning in radiology. Learn how Markus and his team used the open-source Kaapana pla...
E8: Dr. Oliver Saldanha on Swarm Learning and Decentralized AI in Medicine
In this episode, Dr. Oliver Saldanha of Cather Lab joins host Timothy to explore how swarm learning is transforming medical AI—from histopathology to global multi-center collaboration. Hear the story behind his landmark Nature paper, t...
