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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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“Computational Photography: Understanding and Expanding the Capabilities of Standard Cameras,” a Presentation from NVIDIA

Orazio Gallo, Senior Research Scientist at NVIDIA, presents the "Computational Photography: Understanding and Expanding the Capabilities of Standard Cameras" tutorial at the May 2016 Embedded Vision Summit. Today's digital cameras, even at the entry-level, produce pictures with quality comparable to that of high-end cameras of a decade ago. Image processing and computational photography algorithms play

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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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Movidius Brings Artificial Vision Intelligence to FLIR Systems’ Latest Thermal Imaging Product

FLIR's New Boson™ Thermal Camera Core to Feature Onboard Visual Intelligence Computing Through Custom Implementation of Myriad 2 VPU SAN MATEO, CA–(Marketwired – Apr 18, 2016) – Movidius, the leader in low-power machine vision, today announced a strategic collaboration with FLIR Systems, a global leader in thermal imaging technology, to bring advanced computer vision capabilities

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“Drones at Work,” a Presentation from Kespry

Marcus Hammond, Robotics Lead at Kespry, delivers the presentation, "Drones at Work," at the March 2016 Embedded Vision Alliance Member Meeting. Hammond explains how his company is using autonomous drones and computer vision to provide actionable data for the mining and construction industries.

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Embedded Vision Insights: April 12, 2016 Edition

EMBEDDED VISION SUMMIT SPECIAL EDITION Dear Colleague, The Embedded Vision Alliance's annual conference, the Embedded Vision Summit, is coming up fast: May 2-4 in Santa Clara, California. The Summit is the event for innovators who want to bring visual intelligence to their products, and we're devoting this issue of Embedded Vision Insights to cover the

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Deep Learning Use Cases for Computer Vision (Download)

Six Deep Learning-Enabled Vision Applications in Digital Media, Healthcare, Agriculture, Retail, Manufacturing, and Other Industries The enterprise applications for deep learning have only scratched the surface of their potential applicability and use cases.  Because it is data agnostic, deep learning is poised to be used in almost every enterprise vertical… Deep Learning Use Cases for

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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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