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    Learning “Common Sense” and Physical Concepts with Roland Memisevic
    800 800 This Week in Machine Learning & AI

    In today’s episode, I’m joined by Roland Memisevic, co-founder, CEO, and chief scientist at Twenty Billion Neurons.

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    Trust in Human-Robot/AI Interactions with Ayanna Howard
    800 800 This Week in Machine Learning & AI

    In this episode, the third in our Black in AI series, I speak with Ayanna Howard, Chair of the Interactive School of Computing at Georgia Tech.

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    Data Science for Poaching Prevention and Disease Treatment with Nyalleng Moorosi
    800 800 This Week in Machine Learning & AI

    For today’s show, I’m joined by Nyalleng Moorosi, Senior Data Science Researcher at The Council for Scientific & Industrial Research or CSIR, in Pretoria, South Africa.

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    Security and Safety in AI: Adversarial Examples, Bias and Trust with Moustapha Cissé
    800 800 This Week in Machine Learning & AI

    In this episode I’m joined by Moustapha Cissé, Research Scientist at Facebook AI Research Lab (or FAIR) Paris.

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    Peering into the Home w/ Aerial’s Wifi Motion Analytics with Michel Allegue & Negar Ghourchian
    800 800 This Week in Machine Learning & AI

    In this episode I’m joined by Michel Allegue and Negar Ghourchian of Aerial.ai. Aerial is doing some really interesting things in the home automation space, by using wifi signal statistics to identify and understand what’s happening in our homes and office environments.

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    Physiology-Based Models for Fitness and Training w/ Firstbeat with Ilkka Korhonen
    800 800 This Week in Machine Learning & AI

    In this episode i’m joined by Ilkka Korhonen, Vice President of Technology at Firstbeat, a company whose algorithms are embedded in fitness watches from companies like Garmin and Suunto and which use your heartbeat data to offer personalized insights into stress, fitness, recovery and sleep patterns.

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    Machine Learning for Signal Processing Applications with Stuart Feffer & Brady Tsai
    800 800 This Week in Machine Learning & AI

    In this episode, I’m joined by Stuart Feffer, co-founder and CEO of Reality AI, which provides tools and services for engineers working with sensors and signals, and Brady Tsai, Business Development Manager at Koito, which develops automotive lighting solutions for car manufacturers.

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    Personalizing the Ferrari Challenge Experience with Andy Keller and Emile Chin-Dickey
    800 800 This Week in Machine Learning & AI

    In this episode, I’m joined by Andy Keller and Emile Chin-Dickey to discuss Intel’s partnership with the Ferrari Challenge North American Series.

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    Deep Learning for 3D Sensors and Cameras in Lighthouse with Alex Teichman
    800 800 This Week in Machine Learning & AI

    In this episode, I sit down with Alex Teichman, CEO and Co-Founder of Lighthouse, a company taking a new approach to the in-home smart camera.

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    Computer Vision for Cozmo, the Cutest Toy Robot Everrrrr! with Andrew Stein
    800 800 This Week in Machine Learning & AI

    In this episode, I’m joined by Andrew Stein, computer vision engineer at consumer robotics company Anki, and his partner in crime Cozmo, a toy robot with tons of personality.

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    Expectation Maximization, Gaussian Mixtures & Belief Propagation, OH MY! with Inmar Givoni
    800 800 This Week in Machine Learning & AI

    In this episode i’m joined by Inmar Givoni, Autonomy Engineering Manager at Uber ATG, to discuss her work on the paper Min-Max Propagation, which was presented at NIPS last month in Long Beach.

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    A Linear-Time Kernel Goodness-of-Fit Test with Wittawat Jitkrittum, Zoltan Szabo, Kenji Fukumizu, Arthur Gretton – NIPS Best Paper ’17
    800 800 This Week in Machine Learning & AI

    In this episode, Sam Charrington is joined by the authors of “A Linear-Time Kernel Goodness-of-Fit Test,” a NIPS ’17 Best Paper Award Winner.

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