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Edge AI and Vision Alliance

May 2016 Embedded Vision Summit Vision Tank Competition Finalist Presentations

Dmitry Morozov, CEO of 3DiVi, Arun Chhabra, CEO of 8tree, Feisal Afzal, Managing Director of Pound Capital (representing Magik Eye), Pree Walia, CEO of Preemadonna, and Aaron Cohen, CEO of SKUR, deliver their Vision Tank finalist presentations at the May 2016 Embedded Vision Summit. The Vision Tank, a unique spin on the Shark Tank reality […]

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“A Practitioner’s Guide to Commercializing Applications of Computer Vision,” a Presentation from Firelake Capital Management

Peter Shannon, Managing Director at Firelake Capital Management, presents the "Practitioner’s Guide to Commercializing Applications of Computer Vision" tutorial at the May 2016 Embedded Vision Summit. Computer vision technology is advancing at an exciting pace, but still has a long way to go toward maturity and realizing its full potential. The technology itself presents attractive

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“The OpenCV Open Source Computer Vision Library: What’s New and What’s Coming?,” a Presentation from the OpenCV Foundation

Gary Bradski, President and CEO of the OpenCV Foundation, presents the "The OpenCV Open Source Computer Vision Library: What’s New and What’s Coming?" tutorial at the May 2016 Embedded Vision Summit. OpenCV is an enormously popular open source computer vision library, with over 14 million downloads expanding recently to 200K downloads per month. Originally used

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“Democratizing Computer Vision Development: Lessons from the Video Game Industry,” a Presentation from WRNCH

Paul Kruszewski, President of WRNCH, presents the "Democratizing Computer Vision Development: Lessons from the Video Game Industry" tutorial at the May 2016 Embedded Vision Summit. Computer vision offers great promise: algorithms are maturing rapidly and processing power continues to grow by leaps and bounds. But today’s approach to computer vision software development – hiring a

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Is the Future of Machine Vision Already Here? Business Insights from the 2016 Embedded Vision Summit

This article was originally published by Embedded Vision Alliance consultant Dave Tokic. It is reprinted here with Tokic's permission. My biggest “aha moment” out of many during the Embedded Vision Summit 2016 came right at the beginning. I was a front row participant as moderator of the 2-day Business Insights track and have been closely

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Embedded Vision Insights: May 24, 2016 Edition

In this edition of Embedded Vision Insights: New Embedded Vision Summit Content Recognition and Classification in Augmented Reality Deep Learning and Computer Vision Embedded Vision Community Conversations Embedded Vision in the News Upcoming Industry Events LETTER FROM THE EDITOR Dear Colleague, I’m happy to announce the first two (of what will end up being more

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“Large-Scale Deep Learning for Building Intelligent Computer Systems,” a Keynote Presentation from Google

Jeff Dean, Senior Fellow at Google, presents the "Large-Scale Deep Learning for Building Intelligent Computer Systems" keynote at the May 2016 Embedded Vision Summit. Over the past few years, Google has built two generations of large-scale computer systems for training neural networks, and then applied these systems to a wide variety of research problems that

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May 2016 Embedded Vision Summit Proceedings

The Embedded Vision Summit was held on May 2-4, 2016 in Santa Clara, California, as a educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations presented at the Summit are listed below. All of the slides from these presentations are included in… May 2016 Embedded Vision Summit

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Embedded Vision Insights: April 26, 2016 Edition

In this edition of Embedded Vision Insights: Less Than a Week Until the Embedded Vision Summit Open Standard APIs for Vision Processing Writing OpenCL Kernels for GPUs Embedded Vision Community Conversations Embedded Vision in the News Upcoming Industry Events LETTER FROM THE EDITOR Dear Colleague, It’s almost here…the Embedded Vision Summit — the only conference

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“Techniques for Efficient Implementation of Deep Neural Networks,” a Presentation from Stanford

Song Han, graduate student at Stanford, delivers the presentation "Techniques for Efficient Implementation of Deep Neural Networks" at the March 2016 Embedded Vision Alliance Member Meeting. Song presents recent findings on techniques for the efficient implementation of deep neural networks.

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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.

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