VR Funhouse Mod Contest Update

GameWorks, VRWorks

David Coombes, posted Dec 14 2016

VR Funhouse is NVIDIA’s open source VR Game that is moddable by the community. We are running a contest to find the best mods out there. As well as getting to share their work with the community, modders can win great prizes including Cash and GeForce GTX graphics cards.

Vr Funhouse is built on Unreal Engine 4 from Epic Games. Anyone can create mods using our custom game editor and UE4’s visual scripting system, no coding is required.

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Beyond GPU Memory Limits with Unified Memory on Pascal

Features, CUDA 8, Fluid Dynamics, Multi-grid, pascal, Tesla P100, Unified Memory

Nadeem Mohammad, posted Dec 14 2016

Modern computer architectures have a hierarchy of memories of varying size and performance. GPU architectures are approaching a terabyte per second memory bandwidth that, coupled with high-throughput computational cores, creates an ideal device for data-intensive tasks. However, everybody knows that fast memory is expensive. Modern applications striving to solve larger and larger problems can be […]

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Share Your Science: The Impact of Deep Learning on Radiology

Features, Research, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence, Share Your Science

Nadeem Mohammad, posted Dec 13 2016

Ronald Summers, Senior Investigator at the National Institutes of Health (NIH) shares how they are trying to improve patient care by increasing the accuracy of radiologic diagnosis with advanced computer techniques. His group is using deep learning and NVIDIA GPUs to assist physicians make a more accurate diagnosis by developing software that improves diagnosis, reduce

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Predicting Your Brain Age From MRI Scans

Research, CUDA, cuDNN, GeForce, Healthcare & Life Sciences, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Dec 12 2016

Researchers from King’s College London developed a deep learning system to measure brain age using raw data from an MRI scanner that can help reveal the onset of conditions such as dementia. Using CUDA, TITAN X GPUs and cuDNN with the Torch deep learning framework, the researchers trained their models on 1,600 MRI brain scans

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Reinventing the Hearing Aid with Deep Learning

Research, CUDA, cuDNN, GeForce, Healthcare & Life Sciences, Higher Education / Academia, Machine Learning & Artificial Intelligence, Signal / Audio Processing

Nadeem Mohammad, posted Dec 08 2016

Researchers at Ohio State University developed a GPU-accelerated program that can isolate speech from background noise and automatically adjust the volumes of each separately. Less than 25 percent of people who need a hearing aid actually use one – with the greatest frustration among users is the hearing aid cannot distinguish sounds that occur at

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