Edge AI and Vision Alliance

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Embedded Vision Insights: February 27, 2018 Edition

LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Summit is the preeminent conference on practical computer vision, covering applications at the edge and in the cloud. It attracts a global audience of over one thousand product creators, entrepreneurs and business decision-makers who are creating and using computer vision technology. The Embedded Vision Summit has […]

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Implementing Vision with Deep Learning in Resource-constrained Designs

DNNs (deep neural networks) have transformed the field of computer vision, delivering superior results on functions such as recognizing objects, localizing objects within a frame, and determining which pixels belong to which object. Even problems like optical flow and stereo correspondence, which had been solved quite well with conventional techniques, are now finding even better

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Embedded Vision Insights: February 13, 2018 Edition

LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Summit is the preeminent conference on practical computer vision, covering applications at the edge and in the cloud. It attracts a global audience of over one thousand product creators, entrepreneurs and business decision-makers who are creating and using computer vision technology. The Embedded Vision Summit has

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Computer Vision in Surround View Applications

The ability to "stitch" together (offline or in real-time) multiple images taken simultaneously by multiple cameras and/or sequentially by a single camera, in both cases capturing varying viewpoints of a scene, is becoming an increasingly appealing (if not necessary) capability in an expanding variety of applications. High quality of results is a critical requirement, one

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Embedded Vision Insights: January 30, 2018 Edition

LETTER FROM THE EDITOR Dear Colleague, Are you an early-stage start-up company developing a new product or service incorporating or enabling computer vision? Do you want to raise awareness of your company and products with vision industry experts, investors and entrepreneurs? Want a chance to win $5,000 in cash plus membership in the Embedded Vision

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Embedded Vision Insights: January 16, 2018 Edition

LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Alliance’s first in-person, hands-on technical training classes for 2018, Deep Learning for Computer Vision with TensorFlow, take place in just a few weeks in San Jose, California. Sponsored by IBM and Nimbix and leveraging IBM PowerAI on the Nimbix cloud platform, the classes give you the

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“Using Computer Vision and Machine Learning to Understand Pet Behavior,” a Presentation from PetCube

Alex Neskin, founder and CTO of PetCube, delivers the presentation "Using Computer Vision and Machine Learning to Understand Pet Behavior" at the Embedded Vision Alliance's December 2017 Vision Industry and Technology Forum. Neskin explains how his start-up is using vision and AI to improve the lives of pets and their owners.

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“Update on Khronos Standards for Vision and Machine Learning,” a Presentation from the Khronos Group

Neil Trevett, President of the Khronos Group, delivers the presentation "Update on Khronos Standards for Vision and Machine Learning" at the Embedded Vision Alliance's December 2017 Vision Industry and Technology Forum. Trevett shares updates on recent, current and planned Khronos standardization activities aimed at streamlining the deployment of embedded vision and AI.

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Embedded Vision Insights: December 19, 2017 Edition

LETTER FROM THE EDITOR Dear Colleague, Are you an early-stage start-up company developing a new product or service incorporating or enabling computer vision? Do you want to raise awareness of your company and products with vision industry experts, investors and entrepreneurs? Want a chance to win $5,000 in cash plus membership in the Embedded Vision

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Machine Learning’s Fragmentation Problem — and the Solution from Khronos

This blog post was originally published at Alliance partner organization Khronos' website. It is reprinted here with the permission of the Khronos Group. There is a wide range of open-source deep learning training networks available today offering researchers and designers plenty of choice when they are setting up their project. Caffe, Tensorflow, Chainer, Theano, Caffe2,

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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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