GameWorks Vulkan and OpenGL Samples 3.0 Released

GameWorks, GameWorks Expert Developer, Vulkan

Lars Bishop, posted Jul 08 2016

We have rolled out a big upgrade to our GameWorks graphics API samples (formerly known as the OpenGL Samples) – we’ve added support for Vulkan in the framework on all platforms: Windows, Android, desktop Linux and Linux 4 Tegra! The source code and documentation are available today. Check them out at:

https://developer.nvidia.com/gameworks-vulkan-and-opengl-samples

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Applications Open: Compute the Cure Research Grant

News, Research, Higher Education / Academia, Image Processing, Machine Learning & Artificial Intelligence, Medical and Life Sciences, Tesla

Nadeem Mohammad, posted Jul 07 2016

The NVIDIA Foundation announced today the availability of up to two research grants worth $200,000 each as part of its Compute the Cure initiative to advance the fight against cancer. The Foundation is seeking projects that use computational omics to dramatically impact the battle against cancer and reduce the time it takes for research outcomes

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Teaching an AI to Detect Key Actors in Multi-person Videos

Research, cuDNN, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment, Tesla, Video Processing

Nadeem Mohammad, posted Jul 06 2016

Researchers from Google and Stanford have taught their computer vision model to detect the most important person in a multi-person video scene – for example, who the shooter is in a basketball game which typically contains dozens or hundreds of people in a scene. Using 20 Tesla K40 GPUs and the cuDNN-accelerated Tensorflow deep learning

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Getting to know the new HDR

GameWorks, HDR

Evan Hart, posted Jul 05 2016

We’ve already started with teaser posts about HDR on this blog both here and here. Now that we’ve gotten through the madness of launching a new product, it is time to go through a more detailed set of information on the how, why, and what of HDR. This post kicks off a whole series of blog posts on HDR and color evolutions for

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New Deep Learning Method Enhances Your Selfies

Research, cuDNN, Higher Education / Academia, Image Processing, Machine Learning & Artificial Intelligence, Media & Entertainment, Tesla, Video Processing

Nadeem Mohammad, posted Jul 05 2016

Researchers from Adobe Research and The Chinese University of Hong Kong created an algorithm that automatically separates subjects from their backgrounds so you can easily replace the background and apply filters to the subject. Their research paper mentions there are good user-guided tools that support manually creating masks to separate subjects from the background, but

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