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    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 Charts in Natural Document Formats.”

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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 with last week at the Googleplex in Mountain View.

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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 for smart cars.

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    Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang
    800 800 This Week in Machine Learning & AI

    In this episode, I’m joined by Ian Goodfellow, Staff Research Scientist at Google Brain and Sandy Huang, Phd Student in the EECS department at UC Berkeley, to discuss their work on the paper Adversarial Attacks on Neural Network Policies.

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    Towards Abstract Robotic Understanding with Raja Chatila
    800 800 This Week in Machine Learning & AI

    In this episode, we’re joined by Raja Chatila, director of Intelligent Systems and Robotics at Pierre and Marie Curie University in Paris, and executive committee chair of the IEEE global initiative on ethics of intelligent and autonomous systems.

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