Brian Dipert

“Leveraging Computer Vision and Machine Learning to Power the Visual Commerce Revolution,” a Presentation from Sight Commerce

Satya Mallick, Co-Founder of Sight Commerce, delivers the presentation "Leveraging Computer Vision and Machine Learning to Power the Visual Commerce Revolution" at the May 2015 Embedded Vision Alliance Member Meeting. Satya explains how his company is using vision to enable retailers like Bloomingdale’s to create more engaging, personalized shopping experiences.

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NVIDIA Doubles Performance for Deep Learning Training

New Releases of DIGITS, cuDNN to Deliver 2x Faster Neural Network Training; cuDNN to Enable More Sophisticated Models Tuesday, July 7, 2015 – NVIDIA today announced at the International Machine Learning Conference updates to its GPU-accelerated deep learning software that will double deep learning training performance. The new software will empower data scientists and researchers

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Aptina

ON Semiconductor’s Latest BSI Technology Delivers Best-in-Class Performance for Automotive ADAS and Viewing Cameras

Newest 1/3-inch 1 megapixel backside illuminated (BSI) CMOS image sensor delivers significant improvements in low light signal-to-noise ratio, visible light sensitivity and infrared performance PHOENIX, Ariz. – July 09, 2015 – ON Semiconductor (Nasdaq: ON), driving energy efficiency innovations, is expanding its highly-regarded 1/3-inch 1 megapixel (MP) image sensor portfolio with early sampling of the

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“Developing High-Performance, Energy-Efficient Vision Solutions Using Open-Standard Libraries and APIs,” a Presentation from Intel

Mostafa Hagog, Architect at Intel, presents the "Developing High-Performance, Energy-Efficient Vision Solutions Using Open-Standard Libraries and APIs" tutorial at the May 2015 Embedded Vision Summit. Connected cameras, hand-held devices, embedded systems, and cloud services enable a world of intelligence everywhere. But to realize the potential of computer vision technology, developers face tough challenges. On the

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Sorting Out Embedded Vision Systems

This article was originally published on June 10, 2015 at Altera's website. It is reprinted here with the permission of Altera. Papers at this year’s Embedded Vision Summit suggested the vast range of ways that embedded systems can employ focused light as an input, and the even vaster range of algorithms and hardware implementations they

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Khronos Engineering Project RFQ (Request for Quotation): OpenVX Conformance Tests

Khronos is currently seeking contractor resources through its Request for Quotations (RFQ) process for several engineering projects. Currently the organization has a project available to develop conformance tests and tools for OpenVX, an open industry-standard API for standard for cross platform acceleration of computer vision applications, along with similar projects for OpenGL ES and SPIR-V.

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“The Evolution of Object Recognition in Embedded Systems,” a Presentation from CEVA

Moshe Shahar, Director of System Architecture at CEVA, presents the "Evolution of Object Recognition in Embedded Systems" tutorial at the May 2015 Embedded Vision Summit. Camera-enabled devices have made great strides in performance and quality in recent years, but they still fall far short of human visual perception. To reach their potential, vision-enabled systems must

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“Designing and Selecting Instruction Sets for Vision,” a Presentation From Cadence

Chris Rowen, Fellow at Cadence, presents the "Designing and Selecting Instruction Sets for Vision" tutorial at the May 2015 Embedded Vision Summit. Two critical technical trends have reached important inflection points: the massive compute demands of vision processing and the capabilities of specialized vision processors. But what how do you actually select (or even build)

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Embedded Vision Insights: July 2, 2015 Edition

In this edition of Embedded Vision Insights: Embedded Vision Summit Presentation Videos Vision and Sensor Fusion Creating Machines that See Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, I'd like to draw your attention to additional just-published content from May's Embedded Vision Summit. The Alliance's Jeff Bier kicks things off with his

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Xilinx Tapes-Out Industry’s First All Programmable Multi-Processor SoC Using TSMC’s 16nm FF+ for Embedded Vision, ADAS, I-IoT, and 5G Systems

Delivering 5X system level performance/watt and any-to-any connectivity with the security and safety required for next generation, flexible, standards-based platforms SAN JOSE, Calif., July 01, 2015 – Xilinx, Inc. (NASDAQ:XLNX) today announced it has taped out the industry’s first All Programmable Multi-Processor SoC (MPSoC) using TSMC’s 16FF+ process, targeting embedded vision, including ADAS and the

Xilinx Tapes-Out Industry’s First All Programmable Multi-Processor SoC Using TSMC’s 16nm FF+ for Embedded Vision, ADAS, I-IoT, and 5G Systems 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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