Creating Virtual Reality Experiences for the NFL with GPUs

News, CUDA, GeForce, Media & Entertainment, Virtual Reality

Nadeem Mohammad, posted Jul 22 2016

The Tampa Bay Buccaneers unveiled a state-of-the-art experience to provide fans with the ability to virtually sample the new gameday enhancements that will debut beginning with the team’s 2016 season. While the new Raymond James Stadium is under construction, current and prospective ticket holders can use a virtual reality headset to experience the new stadium

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Real-Time Graphics at Siggraph 2016

GameWorks

David Coombes, posted Jul 21 2016

There is a lot of cool stuff happening at Siggraph this year for game developers. The Advances in Real-Time Rendering course has become a must attend for graphics developers at the leading edge. Another key course is Open Problems in Real-Time Graphics which talks about the hard problems in computer graphics and how to solve them.

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World’s Fastest Commercial Drone Powered by Jetson TX1

News, Embedded, Image Processing, Image Recognition, Jetson, Machine Learning & Artificial Intelligence, Media & Entertainment, Robotics, Video Processing

Nadeem Mohammad, posted Jul 21 2016

Records were made to be broken, and drones are no exception. Teal Drones unveiled its first production product, Teal, a Jetson TX1-powered drone capable of flight speeds in excess of 70 mph. That makes Teal the world’s fastest production drone.  But Teal is as much a flying supercomputer platform as it is “just” a drone.

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GPU-Accelerated PC Solves Complex Problems Hundreds of Times Faster Than Massive CPU-only Supercomputers

Research, Algorithms & Numerical Techniques, CUDA, Desktop/Laptop, Fortran, GeForce, Higher Education / Academia, Medical and Life Sciences, physics

Nadeem Mohammad, posted Jul 19 2016

Russian scientists from Lomonosov Moscow State University used an ordinary GPU-accelerated desktop computer to solve complex quantum mechanics equations in just 15 minutes that would typically take two to three days on a large CPU-only supercomputer. Senior researchers Vladimir Pomerantcev and Olga Rubtsova and professor Vladimir Kukulin used a GeForce GTX 670 with CUDA and

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Share Your Science: Microsoft Developing Applications for the Visually Impaired

Features, Research, cuDNN, GeForce, Image Processing, Image Recognition, Internet / Communications, Machine Learning & Artificial Intelligence, Media & Entertainment, Medical and Life Sciences, Share Your Science, Tesla

Nadeem Mohammad, posted Jul 18 2016

Ken Tran, Senior Research Engineer at Microsoft Research shares how they are using deep learning to create applications for people who are blind or visually impaired. Using Tesla M40 and TITAN X GPUs with the cuDNN-accelerated Caffe deep learning framework, they have trained their language model to describe images or scenes in natural language. The

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