Posts Tagged :

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Physiology-Based Models for Fitness and Training w/ Firstbeat with Ilkka Korhonen
 800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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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…

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Machine Learning for Signal Processing Applications with Stuart Feffer & Brady Tsai
 800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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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…

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Personalizing the Ferrari Challenge Experience with Andy Keller and Emile Chin-Dickey
 800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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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
 800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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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
 800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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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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Expectation Maximization, Gaussian Mixtures & Belief Propagation, OH MY! with Inmar Givoni
 800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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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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A Linear-Time Kernel Goodness-of-Fit Test with Wittawat Jitkrittum, Zoltan Szabo, Kenji Fukumizu, Arthur Gretton – NIPS Best Paper ’17
 800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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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
Safe and Nested Subgame Solving for Imperfect-Information Games with Tuomas Sandholm – NIPS Best Paper ’17
 800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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In this episode, I speak with Tuomas Sandholm, Carnegie Mellon University Professor and, along with his PhD student Noam Brown, winner of a 2017 NIPS Best Paper award for the…

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Separating Vocals in Recorded Music at Spotify with Eric Humphrey
 800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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In today’s show, I sit down with Eric Humphrey, Research Scientist in the music understanding group at Spotify. Eric was at the Deep Learning Summit to give a talk on…

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Accelerating Deep Learning with Mixed Precision Arithmetic with Greg Diamos
 800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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In this show I speak with Greg Diamos, senior computer systems researcher at Baidu. Greg joined me before his talk at the Deep Learning Summit, where he spoke on “The…

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