Edge AI and Vision Alliance

OpenVX Enables Portable, Efficient Vision Software

OpenVX, a maturing API from the Khronos Group, enables embedded vision application software developers to efficiently harness the various processing resources available in SoCs and systems. Vision technology is now enabling a wide range of products, that are more intelligent and responsive than before, and thus more valuable to users. Such image perception, understanding, and […]

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Embedded Vision Insights: February 18, 2016 Edition

In this edition of Embedded Vision Insights: Event Registration and Competition Application Deadlines Deep Learning for Vision at Facebook ADAS and the Path to Self-Driving Cars Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, I'll begin this edition with a reminder: next Monday, February 22 from 9 AM to 5:30 PM in

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Embedded Vision Insights: February 2, 2016 Edition

In this edition of Embedded Vision Insights: Embedded Vision Summit Program Updates A Self-Driving Car Keynote from Google Image Recognition Via Convolutional Neural Networks Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, With only three months to go until the Embedded Vision Summit, May 2-4 in Santa Clara, California, the conference organizers

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“A Vision of Safety,” a Presentation from Nauto

Stefan Heck of Nauto delivers the presentation, "A Vision of Safety," at the December 2015 Embedded Vision Alliance Member Meeting. Heck explain how his innovative start-up is using embedded vision to bring improved safety to existing vehicles, reducing insurance costs in the process.

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Embedded Vision Insights: January 19, 2016 Edition

In this edition of Embedded Vision Insights: Recent and Upcoming Vision Events Embedded Vision Performance and Energy Optimization New Low Power Image Recognition Competition Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, Recently, I spent three days at the Consumer Electronics Show. It was time very well spent. Many of the vision-based

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The Caffe Deep Learning Framework: An Interview with the Core Developers

Spend any amount of time researching the topic of deep learning and you'll inevitably come across the term Caffe. This convolutional neural network (CNN) framework, originally named DeCAF, was initially developed by Yangqing Jia (now a research scientist at Google), during his Ph.D. program at the University of California, Berkeley. It is now maintained by

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Embedded Vision Insights: January 5, 2016 Edition

In this edition of Embedded Vision Insights: Embedded Vision Summit Competitions An Introduction to Computational Photography Heterogeneous Computing in Mobile Systems Embedded Vision Community Conversations Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, Happy 2016! I hope that the holiday weeks have been relaxing and rejuvenating for you, and I wish you

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“An Update on Open Standard APIs for Vision Processing,” a Presentation from Khronos

Neil Trevett, President of Khronos and Vice President at NVIDIA, delivers the presentation, "Update on Khronos Open Standard APIs for Vision Processing," at the December 2015 Embedded Vision Alliance Member Meeting. Trevett provides an update on recent developments in multiple Khronos standards useful for vision applications.

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Embedded Vision Insights: December 10, 2015 Edition

In this edition of Embedded Vision Insights: Embedded Vision Summit Discount Ends Soon Real-time Hyperspectral Imaging Four Key Vision Growth Markets in 2016 Embedded Vision Community Conversations Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, I’m pleased to announce that we’ve launched an all-new Embedded Vision Summit area of the Alliance website,

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New Competition Aims to Spur Energy-efficient Computer Vision Innovation

Powerful vision processors have existed for some time now, as exemplified by supercomputers and the longstanding academic research on computer vision. What's recently changed are the "low-cost" and "energy-efficient" aspects of vision processing, along with evolutionary (and sometimes revolutionary) accuracy and other improvements in the algorithms running on the processors. Well-known image classification competitions like

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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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