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    The AI Podcast

    One person, one interview, one story. Join us as we explore the impact of AI on our world, one amazing person at a time -- from the wildlife biologist tracking endangered rhinos across the savannah here on Earth to astrophysicists analyzing 10 billion-year-old starlight in distant galaxies to the Walmart data scientist grappling with the hundreds of millions of parameters lurking in the retailer’s supply chain. Every two weeks, we’ll bring you another tale, another 25-minute interview, as we build a real-time oral history of AI that’s already garnered nearly 3.4 million listens and been acclaimed as one of the best AI and machine learning podcasts. Listen in and get inspired. https://blogs.nvidia.com/ai-podcast/
    enThe AI Podcast227 Episodes

    Episodes (227)

    Paige Cofounder Thomas Fuchs’ Diagnosis on Improving Cancer Patient Outcomes With AI - Ep. 228

    Paige Cofounder Thomas Fuchs’ Diagnosis on Improving Cancer Patient Outcomes With AI - Ep. 228
    Improved cancer diagnostics — and improved patient outcomes — could be among the changes generative AI will bring to the healthcare industry, thanks to Paige, the first company with an FDA-approved tool for cancer diagnosis. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Paige cofounder and Chief Scientific Officer Thomas Fuchs. He’s also dean of artificial intelligence and human health at the Icahn School of Medicine at Mount Sinai. Tune in to hear Fuchs on machine learning and AI applications and how technology brings better precision and care to the medical industry.
    The AI Podcast
    enJuly 10, 2024

    How Roblox Uses Generative AI to Enhance User Experiences - Ep. 227

    How Roblox Uses Generative AI to Enhance User Experiences - Ep. 227
    Roblox is a colorful online platform that aims to reimagine the way that people come together — now that vision is being augmented by generative AI. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Anupan Singh, vice president of AI and growth engineering at Roblox, on how the company is using the technology to enhance virtual experiences with features such as automated chat filters and real-time text translation, which help build inclusivity and user safety. Singh also discusses how generative AI can be used to power coding assistants that help creators focus more on creative expression, rather than spending time manually scripting world-building features.
    The AI Podcast
    enJune 23, 2024

    Michael Rubloff Explains How Neural Radiance Fields Turn 2D Images Into 3D Models - Ep. 226

    Michael Rubloff Explains How Neural Radiance Fields Turn 2D Images Into 3D Models - Ep. 226
    Let’s talk about NeRFs — no, not the neon-colored foam dart blasters, but neural radiance fields, a technology that might just change the nature of images forever. In this episode of NVIDIA’s AI Podcast recorded live at GTC, host Noah Kravitz speaks with Michael Rubloff, founder and managing editor of radiancefields.com, about radiance field-based technologies. NeRFs allow users to take a series of 2D images or video to create a hyperrealistic 3D model — something like a photograph of a scene, but that can be looked at from multiple angles. Tune in to learn more about the technology’s creative and commercial applications and how it might transform the way people capture and experience the world.
    The AI Podcast
    enJune 12, 2024

    Yotta CEO Sunil Gupta on Supercharging India’s Fast-Growing AI Market - Ep. 225

    Yotta CEO Sunil Gupta on Supercharging India’s Fast-Growing AI Market - Ep. 225
    India’s AI market is expected to be massive. Yotta Data Services is setting its sights on supercharging it. In this episode of NVIDIA’s AI Podcast, Sunil Gupta, cofounder, managing director and CEO of Yotta Data Services, speaks with host Noah Kravitz about the company’s Shakti Cloud offering, which provides scalable GPU services for enterprises of all sizes. Yotta is the first Indian cloud services provider in the NVIDIA Partner Network, and its Shakti Cloud is India’s fastest AI supercomputing infrastructure, with 16 exaflops of compute capacity supported by over 16,000 NVIDIA H100 Tensor Core GPUs. Tune in to hear Gupta’s insights on India’s potential as a major AI market and how to balance data center growth with sustainability and energy efficiency.
    The AI Podcast
    enJune 03, 2024

    How Two Stanford Students Are Building Robots for Handling Household Chores - Ep. 224

    How Two Stanford Students Are Building Robots for Handling Household Chores - Ep. 224
    Imagine having a robot that could help you clean up after a party — or fold heaps of laundry. Chengshu Eric Li and Josiah David Wong, two Stanford University Ph.D. students advised by renowned American computer scientist Professor Fei-Fei Li, are making that a ‌dream come true. In this episode of the AI Podcast, host Noah Kravitz spoke with the two about their project, BEHAVIOR-1K, which aims to enable robots to perform 1,000 household chores, including picking up fallen objects or cooking. To train the robots, they’re using the NVIDIA Omniverse platform, as well as reinforcement and imitation learning techniques. Listen to hear more about the breakthroughs and challenges Li and Wong experienced along the way.
    The AI Podcast
    enMay 27, 2024

    Basecamp's Phil Lorenz on Combining AI With Biodiversity Data - Ep. 223

    Basecamp's Phil Lorenz on Combining AI With Biodiversity Data  - Ep. 223
    Basecamp Research is on a mission to capture the vastness of life on Earth at an unprecedented scale. Phil Lorenz, chief technology officer at Basecamp Research, discusses using AI and biodiversity data to advance fields like medicine and environmental conservation with host Noah Kravitz in this AI Podcast episode recorded live at the NVIDIA GTC global AI conference. Lorenz explains Basecamp’s systematic collection of biodiversity data in partnership with nature parks worldwide and its use of deep learning to analyze and apply it for use cases such as protein structure prediction and gene editing. He also emphasizes the importance of ethical data governance and touches on technological advancements that will help drive the future of AI in biology.
    The AI Podcast
    enMay 15, 2024

    Media.Monks’ Lewis Smithingham on Enhancing Media and Marketing With AI - Ep. 222

    Media.Monks’ Lewis Smithingham on Enhancing Media and Marketing With AI - Ep. 222
    Meet Media.Monks’ Wormhole, an alien-like, conversational robot with a quirky personality and the ability to offer keen marketing expertise. Lewis Smithingham, senior vice president of innovation and special ops at Media.Monks, a global marketing and advertising company, discusses the creation of Wormhole and AI’s potential to enhance media and entertainment with host Noah Kravitz in this AI Podcast episode recorded live at the NVIDIA GTC global AI conference. Wormhole was designed to showcase Monks.Flow, an AI-powered platform that streamlines marketing and content creation workflows. Smithingham delves into Media.Monks’ platforms for media, entertainment and advertising and speaks to its vision for a future where AI enhances creativity and allows for more personalized, scalable content creation. https://blogs.nvidia.com/blog/media-monks-ai-podcast/
    The AI Podcast
    enMay 09, 2024

    Performance AI: Insights from Arthur's Adam Wenchel – Ep. 221

    Performance AI: Insights from Arthur's Adam Wenchel – Ep. 221
    In this episode of the NVIDIA AI Podcast, recorded live at the GTC 2024, host Noah Kravitz sits down with Adam Wenchel, co-founder and CEO of Arthur. Arthur enhances the performance of AI systems across various metrics like accuracy, explainability, and fairness. Wenchel shares insights into the challenges and opportunities of deploying generative AI. The discussion spans a range of topics, including AI bias, the observability of AI systems, and the practical implications of AI in business. For more on Arthur, visit arthur.ai.
    The AI Podcast
    enApril 30, 2024

    AI2’s Christopher Bretherton Discusses Using Machine Learning for Climate Modeling - Ep. 220

    AI2’s Christopher Bretherton Discusses Using Machine Learning for Climate Modeling - Ep. 220
    Can machine learning help predict extreme weather events and climate change? Christopher Bretherton, senior director of climate modeling at the Allen Institute for Artificial Intelligence, or AI2, explores the technology’s potential to enhance climate modeling with AI Podcast host Noah Kravitz in an episode recorded live at the NVIDIA GTC global AI conference. Bretherton explains how machine learning helps overcome the limitations of traditional climate models and underscores the role of localized predictions in empowering communities to prepare for climate-related risks. Through ongoing research and collaboration, Bretherton and his team aim to improve climate modeling and enable society to better mitigate and adapt to the impacts of climate change.
    The AI Podcast
    enApril 24, 2024

    Living Optics CEO Robin Wang on Democratizing Hyperspectral Imaging - Ep. 219

    Living Optics CEO Robin Wang on Democratizing Hyperspectral Imaging - Ep. 219
    Step into the realm of the unseen with Robin Wang, CEO of Living Optics. The startup cofounder discusses the power of hyperspectral imaging with AI Podcast host Noah Kravitz in an episode recorded live at the NVIDIA GTC global AI conference. Living Optics’ hyperspectral imaging camera, which can capture visual data across 96 colors, reveals details invisible to the human eye. Potential applications are as diverse as monitoring plant health to detecting cracks in bridges. The startup aims to empower users across industries to gain new insights from richer, more informative datasets fueled by hyperspectral imaging technology. Living Optics is a member of the NVIDIA Inception program for cutting-edge startups. Stay tuned for more episodes recorded live from GTC.
    The AI Podcast
    enApril 23, 2024

    Dotlumen CEO Cornel Amariei on Assistive Technology for the Visually Impaired - Ep. 217

    Dotlumen CEO Cornel Amariei on Assistive Technology for the Visually Impaired - Ep. 217
    Dotlumen is illuminating a new technology to help people with visual impairments navigate the world. In this episode of NVIDIA’s AI Podcast, recorded live at the NVIDIA GTC global AI conference, host Noah Kravitz spoke with the Romanian startup’s founder and CEO, Cornel Amariei, about developing its flagship Dotlumen Glasses. Dotlumen is a member of the NVIDIA Inception program for cutting-edge startups. Equipped with sensors and powered by AI, the glasses compute a safely walkable path for visually impaired individuals and offer haptic — or tactile — feedback on how to proceed via corresponding vibrations. Amariei further discusses the process and challenges of developing assistive technology and its potential for enhancing accessibility. Stay tuned for more episodes recorded live from GTC.
    The AI Podcast
    enApril 10, 2024

    Cleanlab's Curtis Northcutt and Berkeley Research Group's Steven Gawthorpe on AI for Fighting Crime

    Cleanlab's Curtis Northcutt and Berkeley Research Group's Steven Gawthorpe on AI for Fighting Crime
    Talk about scrubbing data. Curtis Northcutt, cofounder and CEO of Cleanlab, and Steven Gawthorpe, senior data scientist at Berkeley Research Group, speak about Cleanlab’s groundbreaking approach to data curation with Noah Kravitz, host of NVIDIA’s AI Podcast, in an episode recorded live at the NVIDIA GTC global AI conference. The startup’s tools enhance data reliability and trustworthiness through sophisticated error identification and correction algorithms. Northcutt and Gawthorpe provide insights into how AI-powered data analytics can help combat economic crimes and corruption and discuss the intersection of AI, data science and ethical governance in fostering a more just society. Cleanlab is a member of the NVIDIA Inception program for cutting-edge startups. https://blogs.nvidia.com/blog/cleanlab-podcast/
    The AI Podcast
    enApril 10, 2024

    ITIF's Daniel Castro on Energy-Efficient AI and Climate Change - Ep. 215

    ITIF's Daniel Castro on Energy-Efficient AI and Climate Change - Ep. 215
    AI-driven change is in the air, as are concerns about the technology’s environmental impact. In this episode of NVIDIA’s AI Podcast, Daniel Castro, vice president of the Information Technology and Innovation Foundation and director of its Center for Data Innovation, speaks with host Noah Kravitz about the motivation behind his AI energy use report, which addresses misconceptions about the technology’s energy consumption. Castro also touches on the need for policies and frameworks that encourage the development of energy-efficient technology. Tune in to discover the crucial role of GPU acceleration in enhancing sustainability and how AI can help address climate change challenges.
    The AI Podcast
    enMarch 11, 2024

    Exploring Filmmaking with Cuebric's AI: Insights from Pinar Seyhan Demirdag - Ep. 214

    Exploring Filmmaking with Cuebric's AI: Insights from Pinar Seyhan Demirdag - Ep. 214
    In today’s episode of NVIDIA’s AI Podcast, host Noah Kravitz talks with Pinar Seyhan Demirdag, co-founder and CEO of Cuebric. Cuebric is on a mission to offer new solutions in filmmaking and content creation through immersive, two-and-a-half-dimensional cinematic environments. Their AI-powered application aims to help creators quickly bring their ideas to life, making high-quality production more accessible. Demirdag discusses how Cuebric uses generative AI to enable the creation of engaging environments affordably. Listen in to find out about the current landscape of content creation, the role of AI in simplifying the creative process, and Cuebric's participation in NVIDIA's GTC technology conference. https://blogs.nvidia.com/blog/pinar-demirdag-cuebric/
    The AI Podcast
    enFebruary 27, 2024

    How the Ohio Supercomputer Center Drives the Future of Computing - Ep. 213

    How the Ohio Supercomputer Center Drives the Future of Computing - Ep. 213
    NASCAR races are all about speed, but even the fastest cars need to factor in safety, especially as rules and tracks change. The Ohio Supercomputer Center is ready to help. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Alan Chalker, the director of strategic programs at the OSC, about all things supercomputing. The center’s Open OnDemand program, which takes the form of a web-based interface, empowers Ohio higher education institutions and industries with accessible, reliable and secure computational services and training and educational programs. Chalker dives into the history and evolution of the OSC, and explains how it’s working with client companies like NASCAR, which is simulating race car designs virtually. Tune in to learn more about Chalker’s outlook on the future of supercomputing and OSC’s role in realizing it.
    The AI Podcast
    enFebruary 21, 2024

    Cardiac Clarity: Dr. Keith Channon Talks Revolutionizing Heart Health With AI - Ep. 212

    Cardiac Clarity: Dr. Keith Channon Talks Revolutionizing Heart Health With AI - Ep. 212
    Here’s some news to still beating hearts: AI is helping bring some clarity to cardiology. Caristo Diagnostics has developed an AI-powered solution for detecting coronary inflammation in cardiac CT scans. In this episode of NVIDIA’s AI Podcast, Dr. Keith Channon, cofounder and chief medical officer at the startup, speaks with host Noah Kravtiz about the technology. Called Caristo, it analyzes radiometric features in CT scan data to identify inflammation in the fat tissue surrounding coronary arteries, a key indicator of heart disease. Tune in to learn more about how Caristo uses AI to improve treatment plans and risk predictions by providing physicians with a patient-specific readout of inflammation levels.
    The AI Podcast
    enJanuary 31, 2024

    DigitalPath's Ethan Higgins On Using AI to Fight Wildfires - Ep. 211

    DigitalPath's Ethan Higgins On Using AI to Fight Wildfires - Ep. 211
    DigitalPath is igniting change in the golden state — using computer vision, generative adversarial networks and a network of thousands of cameras to detect signs of fire in real time. In the latest episode of NVIDIA’s AI Podcast, host Noah Kravtiz spoke with DigitalPath system architect Ethan Higgins about the company’s role in the ALERTCalifornia initiative, a collaboration between California’s wildfire fighting agency CAL FIRE and the University of California, San Diego. DigitalPath built computer vision models to process images collected from network cameras — anywhere from eight to 16 million a day — intelligently identifying signs of fire like smoke. “One of the things we realized early on, though, is that it’s not necessarily a problem about just detecting a fire in a picture,” Higgins said. “It’s a process of making a manageable amount of data to handle.” That’s because, he explained, it’s unlikely that humans will be entirely out of the loop in the detection process for the foreseeable future. The company uses various AI algorithms to classify images based on whether they should be reviewed or acted upon — if so, an alert is sent out to a CAL FIRE command centers. There are some downsides to using computer vision to detect wildfires — namely, that extinguishing more fires means a greater buildup of natural fuel and the potential for larger wildfires in the long term. DigitalPath, along with UCSD, are exploring using high-resolution LIDAR data to identify where those fuels can be let out in the form of prescribed burns. Looking ahead, Higgins foresees the field tapping generative AI to accelerate new simulation tools — as well as using AI models to analyze the output of other models to doubly improve wildfire prediction and detection. “AI is not perfect, but when you couple multiple models together, it can get really close,” he said.
    The AI Podcast
    enJanuary 17, 2024

    The Case for Generative AI in the Legal Field - Ep. 210

    The Case for Generative AI in the Legal Field - Ep. 210
    Thomson Reuters, the global content and technology company, is transforming the legal industry with generative AI. In the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with Thomson Reuters’ Chief Product Officer David Wong about its potential — and implications. Many of Thomson Reuters offerings for the legal industry either address an information retrieval problem or help generate written content. It has a AI-driven digital solution that enables law practitioners to search laws and cases intelligently within different jurisdictions. It also provides AI-powered tools that are set to be integrated with commonly used products like Microsoft 365 to automate the time-consuming processes of drafting and analyzing legal documents. These technologies increase the productivity of legal professionals, enabling them to focus their time on higher value work. According to Wong, ultimately these tools also have the potential to help deliver better access to justice. To address ethical concerns, the company has created publicly available AI development guidelines, as well as privacy and data protection policies. And it’s participating in the drafting of ethical guidelines for the industries it serves. There’s still a wide range of reactions surrounding AI use in the legal field, from optimism about its potential to fears of job replacement. But Wong underscored that no matter what the outlook, “it is very likely that professionals that use AI are going to replace professionals that don’t use AI.” Looking ahead, Thomson Reuters aims to further integrate generative AI, as well as retrieval-augmented generation techniques into its flagship research products to help lawyers synthesize, read and respond to complicated technical and legal questions. Recently, Thomson Reuters acquired Casetext, which developed the first AI legal assistant, CoCounsel. In 2024 Thomson Reuters is building on this with the launch of an AI assistant that will be the interface across Thomson Reuters products with GenAI capabilities, including those in other fields such as tax and accounting.
    The AI Podcast
    enDecember 20, 2023

    Wayve CEO Alex Kendall on Making a Splash in Autonomous Vehicles - Ep. 209

    Wayve CEO Alex Kendall on Making a Splash in Autonomous Vehicles - Ep. 209
    A new era of autonomous vehicle technology, known as AV 2.0, has emerged, marked by large, unified AI models that can control multiple parts of the vehicle stack, from perception and planning to control. Wayve, a London-based autonomous driving technology company, and a member of NVIDIA's startup accelerator program, is leading the surf. In the latest episode of NVIDIA’s AI Podcast, host Katie Burke Washabaugh spoke with the company’s cofounder and CEO, Alex Kendall, about what AV 2.0 means for the future of self-driving cars. Unlike AV 1.0’s focus on perfecting a vehicle’s perception capabilities using multiple deep neural networks, AV 2.0 calls for comprehensive in-vehicle intelligence to drive decision-making in real-world, dynamic environments. Embodied AI — the concept of giving AI a physical interface to interact with the world — is the basis of this new AV wave. Kendall pointed out that it’s a “hardware/software problem — you need to consider these things separately,” even as they work together. For example, a vehicle can have the highest-quality sensors, but without the right software, the system can’t use them to execute the right decisions. Generative AI plays a key role, enabling synthetic data generation so AV makers can use a model’s previous experiences to create and simulate novel driving scenarios. It can “take crowds of pedestrians and snow and bring them together” to “create a snowy, crowded pedestrian scene” that the vehicle has never experienced before. According to Kendall, that will “play a huge role in both learning and validating the level of performance that we need to deploy these vehicles safely” — all while saving time and costs. In June, Wayve unveiled GAIA-1, a generative world model for developing autonomous vehicles. The company also recently announced LINGO-1, an AI model that allows passengers to use natural language to enhance the learning and explainability of AI driving models. Looking ahead, the company hopes to scale and further develop its solutions, improving the safety of AVs to deliver value, build public trust and meet customer expectations. Kendall views embodied AI as playing a definitive role in the future of the AI landscape, pushing pioneers to “build better” and “build further” to achieve the “next big breakthroughs.” For more on NVIDIA's Inception startup accelerator program, visit https://www.nvidia.com/en-us/startups/
    The AI Podcast
    enDecember 06, 2023