Driver and New Sample for VK_NVX_device_generated_commands

GameWorks, GameWorks Expert Developer, Vulkan, DesignWorks

Mathias Schott, posted Dec 01 2016

Recently we introduced the VK_NVX_device_generated_commands (DGC) Vulkan extension, which allows rendering commands to be generated entirely on the GPU. Earlier this week, we added support for VK_NVX_device_generated_commands to our Windows and Linux release drivers.

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Disney AI System Associates Images with Sounds

Research, CUDA, GeForce, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted Dec 01 2016

Disney Research developed a system that can recognize various objects in videos and automatically add related sound effects, such as a glasses clinking or cars driving down the road. Using a GeForce GTX 980 Ti GPU and the Caffe deep learning framework, the researchers trained their model to recognize the sound of images by feeding

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DesignWorks December 2016 Release is now available!

DesignWorks, OptiX, Iray, MDL, Video Processing, Nsight Visual Studio Edition, Linux Graphics Debugger

Eric Foo, posted Nov 30 2016

Get the latest SDK and tools designed for developers creating professional graphics, advanced rendering, video processing, material design, 3D printing and virtual reality applications. We are excited to share a comprehensive update of our innovative and industry leading SDKs and tools for the DesignWorks December 2016 release.

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Artificial Intelligence Generates Christmas Song From Holiday Image

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

Nadeem Mohammad, posted Nov 30 2016

Researchers from University of Toronto developed an AI system that creates and then sings a Christmas song based by analyzing the visual components of an uploaded image. With the help of CUDA, Tesla K40 GPUs and cuDNN to train their deep learning models, the researchers trained their neural network on 100 hours of online music.

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Share Your Science: Understanding Cancer Biology with GPUs

Research, Computational Chemistry, CUDA, Medical and Life Sciences, Molecular Dynamics, Share Your Science, Social Impact, Tesla

Nadeem Mohammad, posted Nov 29 2016

Gil Speyer, Senior Postdoctoral Fellow at the Translational Genomics Research Institute (TGen) shares how NVIDIA technology is accelerating the computer processing of transcriptomes from thousands of cells gleaned from patient tumor samples. Using NVIDIA Tesla K40 GPUs and CUDA, the scientists developed a statistical analysis tool called EDDY (evaluation of differential dependency) that examines in

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