Monthly Archives :

January 2018

Personalizing the Ferrari Challenge Experience with Andy Keller and Emile Chin-Dickey
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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. … Read the rest

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Deep Learning for 3D Sensors and Cameras in Lighthouse with Alex Teichman
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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. … Read the rest

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Computer Vision for Cozmo, the Cutest Toy Robot Everrrrr! with Andrew Stein
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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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TWIML Presents: AI in Consumer Electronics 2018
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Sam speaks with a bunch of folks applying AI in the Consumer Electronics industry at CES 2018 in Las Vegas!read more
Enter Our MyAI Contest!
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In our AI in Consumer Electronics series, we explored just a few of the ways that machine learning and AI are being applied to enhance our everyday lives. I think…

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Expectation Maximization, Gaussian Mixtures & Belief Propagation, OH MY! with Inmar Givoni
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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…

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Bits and Bytes – 1.25.18
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Bits and Bytes Interesting tidbits from recent news: Microsoft develops AI powered sketch artist. The new bot, based on recent GAN research, is capable of generating “drawings” from caption-like text descriptions. Applications…

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Google Cloud AutoML: What you need to Know & Broader implications
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Hey there! This week’s main article is a bit longer than usual, but I hope you’ll find it both interesting and thought provoking.   Google’s New Cloud AutoML: What is…

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Using Deep Learning and Google Street View to Estimate the Demographic Makeup of Neighborhoods Across the United States – TWIML Online Meetup #5 – January 2017
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This is a recap of the TWIML Online Meetup, held on Jan 16, 2018, we focus on the paper “Using deep learning and Google Street View to estimate the demographic…

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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
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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. read more