Posts Tagged :

    machine learning

    Autonomous Aerial Guidance, Navigation and Control Systems with Christopher Lum
    800 800 This Week in Machine Learning & AI

    Ok, In this episode, I’m joined by Christopher Lum, Research Assistant Professor in the University of Washington’s Department of Aeronautics and Astronautics.

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    Infrastructure for Autonomous Vehicles with Missy Cummings
    800 800 This Week in Machine Learning & AI

    In this episode, I’m joined by Missy Cummings, head of Duke University’s Humans and Autonomy Lab and professor in the department of mechanical engineering.

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    Hyper-Personalizing the Customer Experience w/ AI with Rob Walker
    800 800 This Week in Machine Learning & AI

    In this episode, I speak with Rob Walker, vice president of decision management and analytics at Pegasystems, a leading provider of software for customer engagement and operational excellence.

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    Information Extraction from Natural Document Formats with David Rosenberg
    800 800 This Week in Machine Learning & AI

    In this episode, I’m joined by David Rosenberg, data scientist in the office of the CTO at financial publisher Bloomberg, to discuss his work on “Extracting Data from Tables and…

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    Human-in-the-Loop AI for Emergency Response and More with Robert Munro
    800 800 This Week in Machine Learning & AI

    In this episode, I chat with Rob Munro, CTO of the newly branded Figure Eight, formerly known as CrowdFlower.

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    Systems and Software for Machine Learning at Scale with Jeff Dean
    800 800 This Week in Machine Learning & AI

    In this episode I’m joined by Jeff Dean, Google Senior Fellow and head of the company’s deep learning research team Google Brain, who I had a chance to sit down…

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    Semantic Segmentation of 3D Point Clouds with Lyne Tchapmi
    800 800 This Week in Machine Learning & AI

    In this episode I’m joined by Lyne Tchapmi, PhD student in the Stanford Computational Vision and Geometry Lab, to discuss her paper, “SEGCloud: Semantic Segmentation of 3D Point Clouds.”

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    Predicting Cardiovascular Risk Factors from Eye Images with Ryan Poplin
    800 800 This Week in Machine Learning & AI

    In this episode, I’m joined by Google Research Scientist Ryan Poplin, who recently co-authored the paper “Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning.”

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    Reproducibility and the Philosophy of Data with Clare Gollnick
    800 800 This Week in Machine Learning & AI

    In this episode, i’m joined by Clare Gollnick, CTO of Terbium Labs, to discuss her thoughts on the “reproducibility crisis” currently haunting the scientific landscape.

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    Surveying the Connected Car Landscape with GK Senthil
    800 800 This Week in Machine Learning & AI

    In this episode, I’m joined by GK Senthil, director & chief product owner for innovation at Toyota Connected. GK and I spoke about some of the potential opportunities and challenges…

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