Edge AI and Vision Alliance

“Implementing the TensorFlow Deep Learning Framework on Qualcomm’s Low-power DSP,” a Presentation from Google

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Pete Warden, Research Engineer at Google, presents the "Implementing the TensorFlow Deep Learning Framework on Qualcomm’s Low-power DSP" tutorial at the May 2017 Embedded Vision Summit. TensorFlow is Google’s second-generation deep learning software framework. TensorFlow was designed from the ground up to enable efficient implementation of deep learning algorithms at different scales, from high-performance data […]

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Embedded Vision Insights: July 18, 2017 Edition

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DEEP LEARNING FOR VISION Software Frameworks and Toolsets for Deep Learning-based Vision Processing Deep learning is an increasingly popular and robust alternative to classical computer vision algorithms. This technical article from the Embedded Vision Alliance and member companies Au-Zone Technologies, BDTI, MVTec, Synopsys and Xilinx covers the leading deep learning software frameworks, the reasons for

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Embedded Vision Insights: July 18, 2017 Edition

Edge AI and Vision Alliance, Newsletters /

DEEP LEARNING FOR VISION Software Frameworks and Toolsets for Deep Learning-based Vision Processing Deep learning is an increasingly popular and robust alternative to classical computer vision algorithms. This technical article from the Embedded Vision Alliance and member companies Au-Zone Technologies, BDTI, MVTec, Synopsys and Xilinx covers the leading deep learning software frameworks, the reasons for

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Software Frameworks and Toolsets for Deep Learning-based Vision Processing

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This article provides both background and implementation-detailed information on software frameworks and toolsets for deep learning-based vision processing, an increasingly popular and robust alternative to classical computer vision algorithms. It covers the leading available software framework options, the root reasons for their abundance, and guidelines for selecting an optimal approach among the candidates for a

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May 2017 Embedded Vision Summit Vision Tank Competition Finalist Presentations

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Adam Rowell, CTO of Lucid VR, Nitsa Einan, VP of Business Development at Imagry, Anthony Ashbrook, Founder and CEO of Machines With Vision, Grace Tsai, Founding Engineer at PerceptIn, and Grégoire Gentil, Founder of Always Innovating, deliver their Vision Tank finalist presentations at the May 2017 Embedded Vision Summit. The Vision Tank, a unique spin

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May 2017 Embedded Vision Summit Vision Entrepreneurs’ Panel

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Chris Rowen, CEO of Cognite Ventures, moderates the Vision Entrepreneurs' Panel at the May 2017 Embedded Vision Summit. Other panelists include Mark Bowles, founder of ecoATM; Michael Tusch, CEO; and Remi El-Ouazzane, CEO of Movidius (an Intel company). What can we learn from leaders of successful vision-based start-ups? The expanding applications of embedded vision are

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Embedded Vision Insights: July 6, 2017 Edition

Edge AI and Vision Alliance, Newsletters /

LETTER FROM THE EDITOR Dear Colleague, TensorFlow has become a popular framework for creating machine learning-based computer vision applications, especially for the development of deep neural networks. If you’re planning to develop computer vision applications using deep learning and want to understand how to use TensorFlow to do it, then don’t miss next Thursday's full-day,

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May 2017 Embedded Vision Summit Introductory Presentation (Day 1)

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Jeff Bier, Founder of the Embedded Vision Alliance, welcomes attendees to the May 2017 Embedded Vision Summit on May 1, 2017 (Day 1). Bier provides an overview of the embedded vision market opportunity, challenges, solutions and trends. He also introduces the Embedded Vision Alliance and the resources it offers for both product creators and potential

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“Developing Real-time Video Applications with CoaXPress,” A Presentation from Euresys

Edge AI and Vision Alliance, Industrial Vision (Computer Vision), Sensors and Cameras, Videos /

Jean-Michel Wintgens, Vice President of Engineering at Euresys, presents the "Developing Real-time Video Applications with CoaXPress" tutorial at the May 2017 Embedded Vision Summit. CoaXPress is a modern, high-performance video transport interface. Using a standard coaxial cable, it provides a point-to-point connection that is reliable, scalable and versatile. Wintgens shows, using real application cases and

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Embedded Vision Insights: June 20, 2017 Edition

Edge AI and Vision Alliance, Newsletters /

LETTER FROM THE EDITOR Dear Colleague, TensorFlow has become a popular framework for creating machine learning-based computer vision applications, especially for the development of deep neural networks. If you’re planning to develop computer vision applications using deep learning and want to understand how to use TensorFlow to do it, then don’t miss next month's full-day,

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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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