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    Block-Sparse Kernels for Deep Neural Networks with Durk Kingma
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    The show is part of a series that I’m really excited about, in part because I’ve been working to bring them to you for quite a while now. The focus…

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    Robotics at OpenAI with Jonas Schneider
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    The show is part of a series that I’m really excited about, in part because I’ve been working to bring them to you for quite a while now. The focus…

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    AI Robustness & Safety with Dario Amodei
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    The show is part of a series that I’m really excited about, in part because I’ve been working to bring them to you for quite a while now. The focus…

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    Towards Artificial General Intelligence with Greg Brockman
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    The show is part of a series that I’m really excited about, in part because I’ve been working to bring them to you for quite a while now. The focus…

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    Exploring Black Box Predictions with Sam Ritchie
    800 800 This Week in Machine Learning & AI

    This week, we’ll be featuring a series of shows recorded from Strange Loop, a great developer-focused conference that takes place every year right in my backyard! The conference is a…

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    Experimental Creative Writing with the Vectorized Word with Allison Parrish
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    This week, we’ll be featuring a series of shows recorded from Strange Loop, a great developer-focused conference that takes place every year right in my backyard! The conference is a…

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    The Biological Path Towards Strong AI with Matthew Taylor
    800 800 This Week in Machine Learning & AI

    This week, we’ll be featuring a series of shows recorded from Strange Loop, a great developer-focused conference that takes place every year right in my backyard! The conference is a…

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    Pytorch: Fast Differentiable Dynamic Graphs in Python with Soumith Chintala
    800 800 This Week in Machine Learning & AI

    This week, we’ll be featuring a series of shows recorded from Strange Loop, a great developer-focused conference that takes place every year right in my backyard! The conference is a…

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    Accessible Machine Learning for the Enterprise Developer with Ryan Sevey and Jason Montgomery
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    I speak with Ryan Sevey and Jason Montgomery, Co-Founders of Nexosis. We discuss application of ML for time-series data analysis, and the Nexosis ML API.

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    Bridging the Gap Between Academic and Industry Careers with Ross Fadely
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    We close out our NYU Future Labs AI Summit interview series with Ross Fadely, a New York based AI lead with Insight Data Science. Insight is an interesting company offering…

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