This article was originally published at NVIDIA's developer blog. It is reprinted here with the permission of NVIDIA. By Larry Brown Solution Architect, NVIDIA Machine Learning (ML) has its origins in the field of Artificial Intelligence, which started out decades ago with the lofty goals of creating a computer that could do any work a […]
Accelerate Machine Learning with the cuDNN Deep Neural Network Library Read More +
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 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
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
Embedded Vision: Enabling Smarter Mobile Apps and Devices 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 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 +
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
Introduction to OpenCV for Tegra Read More +
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
Real-Time Traffic Sign Recognition on Mobile Processors 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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