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 […]
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
May 2016 Embedded Vision Summit Proceedings Read More +
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
Embedded Vision Insights: April 26, 2016 Edition Read More +
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.
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.
“Drones at Work,” a Presentation from Kespry Read More +
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
Embedded Vision Insights: April 12, 2016 Edition Read More +
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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Wenyi Zhao, Ph.D., Director of the Vision and Sensor Group at DAQRI, delivers the presentation, "Augmented Reality for Industrial Productivity," at the March 2016 Embedded Vision Alliance Member Meeting. Zhao discusses how his firm’s computer-vision-enabled augmented reality helmet is being used to dramatically improve productivity in industrial applications.
“Augmented Reality for Industrial Productivity,” a Presentation from DAQRI Read More +
In this edition of Embedded Vision Insights: One Month Till the Embedded Vision Summit Vision-based Gesture Interfaces The Caffe Deep Learning Framework Embedded Vision in the News Upcoming Industry Events LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Summit – the only conference focused entirely on developing products using computer vision – is just
Embedded Vision Insights: March 29, 2016 Edition Read More +
In this edition of Embedded Vision Insights: Embedded Vision Summit Program Heterogeneous Recognition Algorithms OpenVX For Portable, Efficient Vision Software Deep Learning from a Mobile Perspective Embedded Vision Community Conversations Embedded Vision in the News Upcoming Industry Events LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Summit will be here in just a month
Embedded Vision Insights: March 15, 2016 Edition Read More +
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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