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    Researchers Chris Downum and Leszek Pawlowicz Use Deep Learning to Accelerate Archaeology - Ep. 154

    Researchers Chris Downum and Leszek Pawlowicz Use Deep Learning to Accelerate Archaeology - Ep. 154

    FromThe AI Podcast

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    Researchers Chris Downum and Leszek Pawlowicz Use Deep Learning to Accelerate Archaeology - Ep. 154

    FromThe AI Podcast

    ratings:
    Length:
    26 minutes
    Released:
    Oct 20, 2021
    Format:
    Podcast episode

    Description

    The more advanced modern technologies become, the more they can help us understand the past.

    Chris Downum and Leszek Pawlowicz, researchers in the Department of Anthropology at Northern Arizona University, are using GPU-based deep learning algorithms to categorize sherds — tiny fragments of ancient pottery.

    They spoke with NVIDIA AI Podcast host Noah Kravitz about analyzing sherds to learn more about American Southwest culture, circa 825 to 1300 A.D.

    https://blogs.nvidia.com/blog/2021/10/20/ai-pottery-anthropology/
    Released:
    Oct 20, 2021
    Format:
    Podcast episode

    Titles in the series (100)

    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. So whether you’re contending with challenges in marketing or mathematics, astrophysics or paleo history or just trying to find an automated way to sort out your kid’s growing Lego pile, listen in and get inspired.