Brian Dipert

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OpenCL Extensions and Other Optimizations for Vision Processors and Cores

Blog Posts /

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

Uncategorized /

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

Articles, Ceva, Technical Articles /

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

News /

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

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

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IBM and Xilinx Announce Strategic Collaboration to Accelerate Data Center Applications

News /

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

Market Analysis /

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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Xilinx and its Ecosystem Showcase Compute, Storage, and Networking Acceleration Solutions for Data Center and HPC Applications at SC15

News /

SAN JOSE, November 13, 2015 – Xilinx, Inc. (NASDAQ: XLNX) today announced it will showcase, together with its customer and partner ecosystem, solutions enabling compute, storage, and networking acceleration for Data Center and HPC applications at SC15. Through a series of demonstrations and presentations, Xilinx and its ecosystem will highlight how Xilinx All Programmable technologies,

Xilinx and its Ecosystem Showcase Compute, Storage, and Networking Acceleration Solutions for Data Center and HPC Applications at SC15 Read More +

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Altera Demonstrates FPGA-based Data Center and Search Acceleration Solutions at Supercomputing 2015

News /

San Jose, Calif., —November 12, 2015—Altera Corporation (NASDAQ: ALTR) is demonstrating FPGA acceleration using its leading-edge FPGAs and SoCs at Supercomputing 2015 (Booth 462), being held November 15 to 20 at the Austin Convention Center, Austin, Texas. Altera will demonstrate how the Altera® software development kit (SDK) for Open Computing Language (OpenCL™), combined with its

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Using Convolutional Neural Networks for Image Recognition

Algorithms & Models, Articles, Cadence, Face Recognition, Object Identification, Optical Character Recognition, Processors, Technical Articles /

This article was originally published at Cadence's website. It is reprinted here with the permission of Cadence. Convolutional neural networks (CNNs) are widely used in pattern- and image-recognition problems as they have a number of advantages compared to other techniques. This white paper covers the basics of CNNs including a description of the various layers

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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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