This article was originally published at NVIDIA's blog. It is reprinted here with the permission of NVIDIA. You couldn’t get very far at Google I/O’s dazzling kickoff today without bumping into our new Tegra K1 mobile processor. The keynote showed off Google’s new Android L operating system’s gaming capabilities on a Tegra K1 reference device. […]
It’s Tegra K1 Everywhere at Google I/O Read More +
This article was originally published at Qualcomm's blog. It is reprinted here with the permission of Qualcomm. Today, Amazon introduced the Fire Phone, the first phone ever designed by the retail giant. Featuring a Qualcomm® Snapdragon™ 800 processor, the Fire Phone aims to make a name for itself with innovative technologies, including a highly customized
Amazon Announces the Fire Phone, Powered by a Snapdragon Processor Read More +
This article was originally published at NVIDIA's blog. It is reprinted here with the permission of NVIDIA. Google’s new Project Tango Tablet Developers’ Kit puts powerful new capabilities in the hands of those ready to harness the promise of computer vision. Fast-forwarding Google’s Project Tango from experimental device to developer kit, the tablet incorporates cameras
Computational photography is, as a recently published contributed article points out, one of the most visible current examples of embedded vision processing for the masses. And panorama "stitching", the ability to combine multiple horizontally- and vertically-captured frames into one higher-resolution image, is one of the most common computational photography features. Most of today's panorama stitching
CENTR: An Embedded Vision Case Study Winner Read More +
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
Why the Future of Self-Driving Cars Depends on Visual Computing Read More +
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 +
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
Augmented Reality: A Compelling Mobile Embedded Vision Opportunity Read More +
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 +
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
How GPUs Help Computers Understand What They’re Seeing Read More +
This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Thanks to the emergence of increasingly capable and cost-effective processors, image sensors, memories and other semiconductor devices, along with robust algorithms, it's now practical to incorporate computer vision into a wide range of embedded
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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