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    738: Engineering Biomaterials with Generative AI, with Dr. Pierre Salvy

    738: Engineering Biomaterials with Generative AI, with Dr. Pierre Salvy

    FromSuper Data Science: ML & AI Podcast with Jon Krohn

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    738: Engineering Biomaterials with Generative AI, with Dr. Pierre Salvy

    FromSuper Data Science: ML & AI Podcast with Jon Krohn

    ratings:
    Length:
    23 minutes
    Released:
    Dec 8, 2023
    Format:
    Podcast episode

    Description

    Bioengineering and Generative AI converge under the visionary leadership of Dr. Pierre Salvy at Cambrium GmbH, propelling material science into uncharted territories. He sits down with Jon Krohn live at Merantix A.I. Campus in Berlin to discuss how he's transforming material design, exemplified by his swift development of NovaColl, a vegan collagen crafted within two years.

    Additional materials: www.superdatascience.com/738

    Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
    Released:
    Dec 8, 2023
    Format:
    Podcast episode

    Titles in the series (63)

    The Super Data Science podcast with Jon Krohn brings you the latest and most important machine learning, artificial intelligence, and broader data-world topics from across both academia and industry. As the quantity of data on our planet doubles every couple of years and this trend is set to continue for decades to come, there's an unprecedented opportunity for you to make an enormous impact in your lifetime. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, and commercialization − everything you need to crush it with data science.