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Sunil Kumar

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About this event

Traditional deep learning models require large amounts of computing power, so deploying at the edge has required either expensive hardware or a constant connection to the cloud. Xnor’s new AI2GO platform enables enterprises and individual developers to easily deploy hyper-efficient deep learning models onto edge devices. AI2GO hosts hundreds of Xnor's pre-trained AI models that are tuned for specific hardware targets, use cases, and performance characteristics to fit different needs. There are a variety of models for computer vision tasks like object and person detection, image segmentation, and action classification, that run on a selection of low power hardware such as the Toradex Apalis System on Module with the NXP® i.MX 6 and i.MX 8 SoCs.

Grab your free registrations now:

Date and Time:

Europe/Asia - Thursday, July 25, 2019, 2019 10:00 AM - 11:00 AM (CET) Americas - Thursday, July 25, 2019, 10:00 AM - 11:00 AM (PDT)


Daniel Lang, CMO, Toradex Peter Zatloukal , VP Engineering,

Venue: Online Webinar


Prizes are not published


  • Thursday
  • Schedule for the day is not published


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