How Agentic AI Shortens Drug Development and Boosts Patient Outcomes - Ep. 277
Learn how agentic AI is transforming pharma. IQVIA’s Raja Shankar and Avinob Roy share how intelligent automation accelerates clinical trials, improves commercial strategy, and powers better patient care — turning healthcare data into outcomes at scale.
Listen to the full archive: ai-podcast.nvidia.com
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How CytoReason is Bridging the Data Insight Gap to Accelerate Healthcare Breakthroughs - Ep. 276
Shai Shen-Orr, co-founder and chief scientist at CytoReason and professor at the Technion, talks about the next frontier in healthcare: disease modeling. Shai shares how CytoReason bridges the gap between exploding biological data and actionable insight, powering smarter, faster drug development for leading pharma and biotech companies.
Learn more: ai-podcast.nvidia.com
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AI Everywhere: How San José State University Empowers Students and Educators - Ep. 275
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.
Check out other stories on nvidia.com/ai-for-good/
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Bringing Robots to Life with AI: The Three Computer Revolution - Ep. 274
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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From AlphaFold to MMseqs2-GPU: How AI is Accelerating Protein Science - Ep. 273
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.
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. More information: https://ai-podcast.nvidia.com/
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