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The PowerVR Imaging Framework for Android

This article was originally published at Imagination Technologies' website, where it is one of a series of articles. It is reprinted here with the permission of Imagination Technologies. In a previous article about heterogeneous architectures, I identified memory bandwidth as the main bottleneck for implementing power-efficient algorithms for computer vision. Luckily, Imagination has created an […]

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Efficient Implementation of Neural Network Systems Built on FPGAs, Programmed with OpenCL

This technical article was originally published at Altera's website. It is reprinted here with the permission of Altera. Deep learning neural network systems currently provide the best solution to many large computing problems for image recognition and natural language processing. Neural networks are inspired by biological systems, in particular the human brain; they use conventional

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OpenCL Extensions and Other Optimizations for Vision Processors and Cores

Computer vision applications, unlike traditional image processing, employ a heterogeneous mix of algorithms with a great diversity of control flows and memory access patterns. Therefore, vision processors are naturally evolving towards complex architectures that include, besides the CPU and GPU-like arrays of processing units, dedicated hardware blocks that specialize on certain portions of computer vision

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Preemadonna: Computer Vision Enables Nail-Decorating Nirvana

If you know a "tween" (or older) female who's into custom-decorating her nails with artwork, Preemadonna's just-launched Indiegogo campaign for the $199 Nailbot will likely be of great interest. Company co-founders Pree Walia (CEO) and Casey Schulz (Head of Product) gave a fabulous presentation at September's Embedded Vision Alliance Member Meeting. As you can see

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How Computer Vision is Re-shaping the Four Key Growth Segments of 2016

Computer vision and computational photography are intrinsic aspects of the Internet of Things (IoT), where cameras and sensors reign supreme. This article provides an overview of how computer vision technology is transforming the most critical markets in 2016: mobile, automotive, security and surveillance, and drones. Mobile The digital cameras in smartphones are one of their

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ON Semiconductor CCD Image Sensor Expands Options for Astrophotography and Scientific Imaging

PHOENIX, AZ – Nov. 17, 2015 – ON Semiconductor (Nasdaq: ON), driving energy efficient innovations, is advancing image capture for demanding astrophotography and scientific imaging applications with availability of a new 16.2 megapixel (MP) charge-coupled device (CCD) image sensor. The new KAF-16200 CCD image sensor leverages the advanced design and manufacturing capabilities of ON Semiconductor

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IBM and Xilinx Announce Strategic Collaboration to Accelerate Data Center Applications

Companies team to develop open acceleration infrastructure, software and middleware to address emerging data center workloads AUSTIN, TX – November 16, 2015 — IBM (NYSE: IBM), and Xilinx, Inc. (NASDAQ: XLNX), today announced a multi-year strategic collaboration to enable higher performance and energy- efficient data center applications through Xilinx FPGA-enabled workload acceleration on IBM POWER-based

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Smart-Home Security Hype Waning

What used to be a fairly straightforward (but regulated) industry is now increasingly convoluted. Since multi-system operators (MSOs) began offering security solutions in 2010, the residential security industry has been flooded with new products, solutions, protocols, marketing messages and new partnerships. Although these are all ingredients for a potential paradigm shift, the dust hasn’t yet

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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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PO Box #4446
Walnut Creek, CA 94596

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