Distributed AI

BevelCloud
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.

Episodes

  1. E8: Dr. Oliver Salana on Swarm Learning and Decentralized AI in Medicine

    1 DAY AGO

    E8: Dr. Oliver Salana on Swarm Learning and Decentralized AI in Medicine

    In this episode, Dr. Oliver Salana 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, the technical breakthroughs in decentralized model training, and how his team is paving the way for real-world deployment of federated AI across the healthcare ecosystem. This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.

    20 min
  2. E9: Federated Learning in Practice: Markus Bujotzek on Real-World AI for Radiology

    1 DAY AGO

    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 platform across six university hospitals to tackle organizational, legal, and infrastructure hurdles—and why their results prove that federated learning is more than just a research dream. This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.

    21 min

  3. 22 JAN

    An Introduction to the Distributed AI Podcast

    Listen to Dr Timothy Chou introduce us to the Distributed AI Podcast presented by BevelCloud. This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.

    3 min
  4. E7: Future of AI, Distributed Computing, and Innovation at Hewlett Packard Labs

    15 JAN

    E7: Future of AI, Distributed Computing, and Innovation at Hewlett Packard Labs

    In this episode of the Distributed AI Podcast, host Timothy Chou sits down with Andrew Wheeler, Director of Hewlett Packard Labs, to explore the forefront of AI and distributed computing. They discuss HPE’s advancements in AI supercomputing, distributed AI workflows, and the transformative potential of Swarm Learning in industries like healthcare. Andrew shares insights into Hewlett Packard Labs’ focus areas, including energy-efficient architectures, quantum computing integration, and AI’s role across edge-to-cloud environments. Perfect for tech enthusiasts, industry professionals, and students, this conversation reveals how Hewlett Packard Labs is shaping the future of innovation. This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.

    23 min
  5. E6: Democratizing AI Infrastructure

    15 JAN

    E6: Democratizing AI Infrastructure

    Our guest Hina Dixit, co-founder and CEO of Decomp Compute, discusses her journey from leading investments at Microsoft’s M12 and Samsung Next to founding a company that aims to revolutionize AI infrastructure. Hina shares insights into the challenges of heterogeneity in AI compute, the inspiration behind her patented fine-tuning technique LaserTune, and her vision for empowering businesses to build personalized, scalable AI solutions. Tune in to explore the future of AI democratization, from technical innovation to the intricacies of go-to-market strategies. This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.

    26 min
  6. E5: Efficient and Trustworthy AI

    15 JAN

    E5: Efficient and Trustworthy AI

    In this episode of the Distributed AI Podcast, Timothy Chou sits down with Dr. Berivan Isik, a recent Ph.D. graduate from Stanford University and a research scientist at Google. Dr. Isik shares her journey from Turkey to Stanford, her pioneering work on federated learning, and her focus on efficient and trustworthy AI. The conversation delves into her Ph.D. thesis on improving communication efficiency in federated learning, her innovative approaches to model sparsification and quantization, and her current work at Google Research. This episode offers valuable insights into the challenges and opportunities in distributed learning and its transformative potential across industries. This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.

    23 min
  7. E4: Unlocking the Future of Distributed AI and Federated Learning

    15 JAN

    E4: Unlocking the Future of Distributed AI and Federated Learning

    In this episode of the Distributed AI Podcast, Timothy Chou sits down with Matt Siegel, Co-Founder of BitFount and former leader of the Private Federated Learning team at Apple. Together, they explore the transformative power of Federated Learning, its role in preserving data privacy, and its applications across industries like healthcare and life sciences. Matt shares insights into his journey from academia to Apple, the challenges of deploying AI models in real-world settings, and the vision behind BitFount's mission to democratize access to data. This engaging discussion highlights the promise of distributed AI to drive collaboration, innovation, and meaningful change while safeguarding user privacy. Perfect for AI enthusiasts, professionals, and students eager to learn about cutting-edge advancements in AI and data science. This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.

    28 min
  8. E3: Federated Learning and Privacy in Machine Learning

    15 JAN

    E3: Federated Learning and Privacy in Machine Learning

    In this insightful episode of the dAI Podcast, host Timothy Chou interviews Hugo Song, Product Manager at Google Research, to discuss the transformative power of Federated Learning and its role in advancing privacy and utility in machine learning. Hugo shares his journey from programming with Visual Basic in high school to working on cutting-edge AI technologies at Google. The conversation delves into the challenges of balancing data privacy with model performance, the application of Federated Learning in products like Gboard, and the evolving landscape of AI inferencing. Hugo also offers valuable advice for students and professionals looking to enter the world of machine learning and AI privacy. A must-listen for anyone passionate about the future of decentralized AI and data privacy. This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.

    26 min
  9. E2: Scaling AI with Federated Learning: Insights from Dr. Nic Lane

    24/10/2024

    E2: Scaling AI with Federated Learning: Insights from Dr. Nic Lane

    Our guest Dr. Nic Lane, co-founder of Flower Labs and professor at Cambridge, discusses the growing role of Federated learning in AI. He explains how distributed AI can unlock vast amounts of data while ensuring privacy, and how it will play a critical role in scaling AI models across industries such as healthcare and finance. This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at BevelCloud.ai.

    24 min
  10. E1: Protecting Privacy in AI: Prashant Shah on Confidential Computing and Federated Learning

    24/10/2024

    E1: Protecting Privacy in AI: Prashant Shah on Confidential Computing and Federated Learning

    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.

    23 min
  • 10 Episodes

About

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.

Information

  • Creator
    BevelCloud
  • Years Active
    2024 - 2025
  • Episodes
    10
  • Rating
    Clean
  • Copyright
    © 2025 Distributed AI
  • Show Website
    Distributed AI

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