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NVIDIA CEO Jen-Hsun Huang on stage and speaking about machine learning.

What’s Machine Learning? Thanks to GPU Accelerators, You’re Already Soaking In It

This article was originally published at NVIDIA's blog. It is reprinted here with the permission of NVIDIA. Adobe, Baidu, Netflix, Yandex. Some of the biggest names in social media and cloud computing use NVIDIA CUDA-based GPU accelerators to provide seemingly magical search, intelligent image analysis and personalized movie recommendations, based on a technology called advanced …

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nvidia

How GPUs Help Computers Understand What They’re Seeing

This article was originally published at NVIDIA's blog. It is reprinted here with the permission of NVIDIA. Researchers have been able to advance computerized object recognition to once unfathomable levels, thanks to GPUs. Building on the work of neural network pioneers Kunihiko Fukushima and Yann LeCun – and more recent efforts by teams at the …

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GPUTech

Introduction to OpenCV for Tegra

Do you want to write your own blazing fast, interactive mobile apps using computer vision technology? Apps that can make your camera smarter, find people's faces, understand their gestures, interpret scenes and augment them with graphics? The Tegra super chip and the OpenCV for Tegra library can help you to do just that! OpenCV for …

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GPUTech

Real-Time Traffic Sign Recognition on Mobile Processors

There is a growing need for fast and power-efficient computer vision on embedded devices. This session will focus on computer vision capabilities on embedded platforms available to ADAS developers, covering the OpenCV CUDA implementation and the new computer vision standard, OpenVX. In addition, Itseez traffic sign detection will be showcased. The algorithm is capable of …

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GPUTech

Getting Started With GPU-Accelerated Computer Vision Using OpenCV and CUDA

OpenCV is a free library for research and commercial purposes that includes hundreds of optimized computer vision and image processing algorithms. NVIDIA and Itseez have optimized many OpenCV functions using CUDA on desktop machines equipped with NVIDIA GPUs. These functions are 5 to 100 times faster in wall-clock time compared to their CPU counterparts. Anatoly …

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Create ‘Machines That See’ Using Industry Resources

This article is an expanded and updated version of one originally published at Design News. It is reprinted here with the permission of Design News. This article explores the opportunity for incorporating visual intelligence in electronic products, introduces an industry alliance created to help engineers implement such capabilities, and describes an upcoming technical education forum …

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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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