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: https://www.toradex.com/webinars/ai2go-a-new-self-serve-platform-for-deploying-ai-at-the-edge

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)

Speakers:

• Daniel Lang, CMO, Toradex
• Peter Zatloukal , VP Engineering, Xnor.ai

Venue: Online Webinar