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Embedded Vision: Enabling Smarter Mobile Apps and Devices

For decades, computer vision technology was found mainly in university laboratories and a few niche applications. Today, virtually every tablet and smartphone is capable of sophisticated vision functions such as hand gesture recognition, face recognition, gaze tracking, and object recognition. These capabilities are being used to enable new types of applications, user interfaces, and use […]

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Why the Future of Self-Driving Cars Depends on Visual Computing

This article was originally published at NVIDIA's blog. It is reprinted here with the permission of NVIDIA. Everybody hates driving through cross-town traffic. This week, Google said they’re doing something about it, announcing that they’ve shifted the focus of their Self-Driving Car Project from cruising down freeways to mastering city streets. The blog post, by

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March 2014 Embedded Vision Alliance Member Meeting Presentation: “Vision-Based Navigation Applications: From Planetary Exploration to Consumer Devices,” Larry Matthies, NASA

Larry Matthies, Supervisor of the Computer Vision Group at NASA's Jet Propulsion Laboratory, delivers the technology presentation, "Vision-Based Navigation Applications: From Planetary Exploration to Consumer Devices," at the March 2014 Embedded Vision Alliance Member Meeting. Dr. Matthies is a Senior Research Scientist at JPL and is the Supervisor of the Computer Vision Group in the

March 2014 Embedded Vision Alliance Member Meeting Presentation: “Vision-Based Navigation Applications: From Planetary Exploration to Consumer Devices,” Larry Matthies, NASA Read More +

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Embedded Vision Insights: April 24, 2014 Edition

In this edition of Embedded Vision Insights: Vision Processing on Mobile Devices Developing Low-Cost, Low-Power, Small Vision Systems Augmented Reality: A Compelling Opportunity Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, There’s been quite a burst of interesting news lately about vision technology being used in mobile devices, a topic which has

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Anything But Pedestrian: How GPU-Powered Brains Can Help Cars Keep People Safe

This article was originally published at NVIDIA's blog. It is reprinted here with the permission of NVIDIA. Today’s crowded urban centers are, more than ever, a mine field for drivers. It’s not just that there are more pedestrians on the streets; many of them are staring at or talking on their mobile devices as they

Anything But Pedestrian: How GPU-Powered Brains Can Help Cars Keep People Safe Read More +

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Augmented Reality: A Compelling Mobile Embedded Vision Opportunity

This article was originally published at Electronic Engineering Journal. It is reprinted here with the permission of TechFocus Media. Although augmented reality was first proposed and crudely demonstrated nearly fifty years ago, its implementation was until recently only possible on bulky and expensive computers. Nowadays, however, the fast, low power and cost-effective processors and high

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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

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

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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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Embedded Vision Insights: April 10, 2014 Edition

In this edition of Embedded Vision Insights: Recent Presentation Videos, Upcoming Presentation Plans Feature Tracking Attributes and Implementation Specifics Automatic License Plate Recognition Applications Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, I’m pleased to report that videos of three interesting presentations from the recent Embedded Vision Alliance Member Meeting are now

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March 2014 Embedded Vision Alliance Member Meeting Presentation: “Recent Developments in Khronos Standards for Embedded Vision,” Neil Trevett, Khronos

Neil Trevett, President of Khronos and Vice President at NVIDIA, delivers the standards presentation, "Recent Developments in Khronos Standards for Embedded Vision," at the March 2014 Embedded Vision Alliance Member Meeting.

March 2014 Embedded Vision Alliance Member Meeting Presentation: “Recent Developments in Khronos Standards for Embedded Vision,” Neil Trevett, Khronos 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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