『NVIDIA AI Podcast』のカバーアート

NVIDIA AI Podcast

NVIDIA AI Podcast

著者： NVIDIA
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 Explore how the latest technologies are shaping our world, from groundbreaking discoveries to transformative sustainability efforts. The NVIDIA AI Podcast shines a light on the stories and solutions behind the most innovative changes, helping to inspire and educate listeners. Every week, we’ll bring you another tale, another 30-minute interview, as we build a real-time oral history of AI that’s already garnered nearly 6.5 million listens and been acclaimed as one of the best AI and machine learning podcasts. Listen in and get inspired. More information: https://ai-podcast.nvidia.com/All rights reserved e203f610-4315-11f0-9656-27588e6ca9e9
エピソード
  • AI Everywhere: How San José State University Empowers Students and Educators - Ep. 275

    AI Everywhere: How San José State University Empowers Students and Educators - Ep. 275
    2025/09/24
    President Cynthia Teniente-Matson discusses how San José State University is equipping both students and faculty to confidently embrace AI and prepare for tomorrow’s workforce. Learn more about SJSU’s hands-on AI integration in courses, AI-driven teaching tools, faculty development programs, innovative collaborations, and real-world projects—all building a more inclusive, future-ready campus. Learn more and browse the archives on the ⁠⁠AI Podcast homepage⁠
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    42 分
  • Bringing Robots to Life with AI: The Three Computer Revolution - Ep. 274

    Bringing Robots to Life with AI: The Three Computer Revolution - Ep. 274
    2025/09/17
    Yashraj Narang, head of NVIDIA's Seattle Robotics Lab, reveals how the three computer solution—DGX for training, Omniverse and Cosmos for simulation, and Jetson AGX for real-time inference—is transforming modern robotics. From sim-to-real breakthroughs to humanoid intelligence, discover how NVIDIA's full-stack approach is making robots more adaptive, capable, and ready for real-world deployment. Learn more at ai-podcast.nvidia.com.
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    52 分
  • From AlphaFold to MMseqs2-GPU: How AI is Accelerating Protein Science - Ep. 273

    From AlphaFold to MMseqs2-GPU: How AI is Accelerating Protein Science - Ep. 273
    2025/09/10
    Listen as two leading researchers at the cutting edge of computational biology explore breakthrough GPU accelerations that are changing how we understand life's molecular machinery. Chris Dallago, Research Lead at NVIDIA and Visiting Professor at Duke University, and Martin Steinegger, Associate Professor at Seoul National University and co-author of the Nobel Prize-winning AlphaFold paper, join the podcast to discuss homology retrieval, protein design, and how MMseqs2-GPU inverted the traditional 80/20 compute bottleneck in protein structure prediction, enabling faster drug discovery and biological research. Learn more at ⁠ai-podcast.nvidia.com⁠.
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    35 分
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