Edge AI and Vision Alliance

Edge AI and Vision Insights: May 19, 2021 Edition

EMBEDDED VISION SUMMIT SPECIAL EDITION Dear Colleague, In just less than a week, over 1,200 leading innovators, expert product developers, supplier technical specialists and accomplished entrepreneurs will be gathering at the virtual 2021 Embedded Vision Summit (happening May 25-28)—and we couldn’t be more excited about the program that’s in store for them! This is the […]

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Edge AI and Vision Insights: May 4, 2021 Edition

LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Summit is quickly approaching (May 25-28), and I just took a look at our long (and growing) list of exhibitors. All I can say is wow! These top suppliers are creating cutting-edge building-block technologies that are accelerating the future of edge AI and vision, and they’ll

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Edge AI and Vision Insights: April 7, 2021 Edition

LETTER FROM THE EDITOR Dear Colleague, It can be hard finding the right people and best technology when you’re creating leading-edge computer vision and edge AI-enabled products… but we have an incredible opportunity for you to connect directly with suppliers and learn about the latest building-block technologies. It’s happening at the virtual 2021 Embedded Vision

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Edge AI and Vision Insights: March 24, 2021 Edition

LETTER FROM THE EDITOR Dear Colleague, You spoke and we listened: the 2021 Embedded Vision Summit, the premier conference for innovators adding computer vision and visual AI to products, is now a four-day event, taking place online May 25-28! Expanding the program enables us to offer 80+ highly relevant, top-quality sessions, the type of content

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Edge AI and Vision Insights: March 10, 2021 Edition

LETTER FROM THE EDITOR Dear Colleague, Check out these upcoming webinars from the Edge AI and Vision Alliance and its Member companies: On Tuesday, March 23, 2021 at 9 am PT, Nota will deliver the free webinar “Selecting and Combining Deep Learning Model Optimization Techniques for Enhanced On-device AI,” in partnership with the Alliance. Model

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Free Webinar Introduces Deep Learning for Embedded Computer Vision

On March 24, 2021 at 9 am PT (noon ET), the Edge AI and Vision Alliance’s Founder, Jeff Bier, will present the free hour webinar “Deep Learning for Embedded Computer Vision: An Introduction,” in partnership with Vision Systems Design. Here’s the description, from the event registration page: Deep learning for embedded computer vision has made

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September 2020 Embedded Vision Summit Slides

The Embedded Vision Summit was held online on September 15-25, 2020, as an educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in PDF form. To… September 2020 Embedded Vision Summit

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“Practical Guide to Implementing Deep Neural Network Inferencing at the Edge,” a Presentation from Zebra Technologies

Toly Kotlarsky, Distinguished Member of the Technical Staff in R&D at Zebra Technologies, presents the “Practical Guide to Implementing Deep Neural Network Inferencing at the Edge” tutorial at the September 2020 Embedded Vision Summit. In this presentation, Kotlarsky explores practical aspects of implementing a pre-trained deep neural network (DNN) inference on typical edge processors. First,

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“DevCloud for the Edge,” an Alliance Conversation with Intel

Jeff Bier, Founder of the Edge AI and Vision Alliance, interviews Monique Jones, Senior Software Engineer Team Lead at Intel, about her company’s DevCloud for the Edge developer toolset. Bier and Jones compare and contrast a DevCloud-based development flow versus the traditional approach that leverages a development board located at the engineer’s desk and directly

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

Contact

Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

Phone
Phone: +1 (925) 954-1411
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