Nexus Lab Cohort 2 - Bite.ai - TWiML Talk #65
2017-11-08 · 27 min · episode 65 · 13 entities
Asserted relationships
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evidence rules-v4
Feed author/publisher: Sam Charrington
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evidence rules-v4
working at Clarifai
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evidence rules-v4
Feed category: Science
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evidence rules-v4
Feed category: Tech News
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Feed author/publisher: TWIML
Entities found in this episode
companys 6
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evidence rules-v4
Feed author/publisher: TWIML
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0.60
evidence rules-v4
working at Clarifai
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evidence rules-v4
Feed category: Technology
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0.48
evidence rules-v4
working at Clarifai
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0.40
evidence rules-v4
Feed category: Technology
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0.40
evidence rules-v4
Feed author/publisher: TWIML
concepts 5
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evidence rules-v4
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evidence rules-v4
Feed category: News
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evidence rules-v4
Feed category: Tech News
persons 2
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evidence rules-v4
Feed author/publisher: Sam Charrington
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0.55
evidence rules-v4
Feed author/publisher: Sam Charrington
Episode description as stored
The podcast you’re about to hear is the second of a series of shows recorded at the NYU Future Labs AI Summit last week in New York City.In this episode, you’ll hear from Bite.ai, a startup founded by Vinay Anantharaman and Michal Wolski, founders who met working at Clarifai, another NYU Future Labs alumni, whose CEO Matt Zeiler I interviewed on TWiML Talk #22(Link on show notes page). Bite is using convolutional neural networks and other machine learning to help computers understand and reason about food. Their product is the app Bitesnap, which provides users with detailed nutritional information about the food they’re about to eat using just a photo and a serving size. We dive into the details of their app and service, the machine learning models and pipeline that enable it, and how they plan to compete with other apps targeting dieters, and more! The notes for this show can be found at twimlai.com/talk/65 For series information, visit twimlai.com/ainexuslab2.