NVIDIA CEO Shares Current State of Artificial Intelligence

Features, News, Automotive, Cloud, Image Processing, Machine Learning & Artificial Intelligence, Medical Imaging

Nadeem Mohammad, posted Mar 22 2016

In an interview with Fortune, NVIDIA CEO Jen-Hsun Huang weighs in on data centers, driverless cars, and deep learning technology. Below are some excerpts from the interview: Fortune: What’s the current status of artificial intelligence? Jen-Hsun Huang: 2015 was a big year. Artificial intelligence is moving into the commercial world. AI has been worked on

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GameWorks 3.1 Released at GDC16

GameWorks, GameWorks Expert Developer

Mike Skolones, posted Mar 22 2016

At GDC 16 we rolled out the GameWorks 3.1 SDK with three new rendering technologies that will help your game to shine: Volumetric Lighting, Voxel Accelerated Ambient Occlusion (VXAO) and Hybrid Frustum Traced Shadows (HFTS),

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Share Your Science: Next-Generation Computational Fluid Dynamics Technology

Research, Climate/Weather/Ocean Modeling, Computational Fluid Dynamics (CFD), Higher Education / Academia, Share Your Science, Tesla

Nadeem Mohammad, posted Mar 18 2016

Peter Vincent of the Department of Aeronautics at Imperial College London shares how they are using NVIDIA Tesla GPUs to accelerate Computational Fluid Dynamics simulations that will improve the design processes used by companies that design aircrafts or Formula One race cars. Learn more about PyFR, the open-source CFD package developed by Vincent’s lab, that employs

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NVIDIA AT GDC 2016

GameWorks, GameWorks Expert Developer, NVIDIA Shield

Anthony Cascio, posted Mar 17 2016


2016 is going to be a very exciting year for NVIDIA at GDC. We’ll be demonstrating the most advanced real-time rendering for VR and video games, as well as the NVIDIA SHIELD platform.

Between our booth, developer labs, presentations, meetings, and other activities, this is going to be our biggest, most exciting GDC yet.



We can't wait to see you at the show!


Moscone Center, San Francisco, CA

Booth #824, South Hall

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Spotting Keywords in Audio and Video Files

News, Cloud, Internet / Communications, Machine Learning & Artificial Intelligence, Signal / Audio Processing, Video Processing

Nadeem Mohammad, posted Mar 17 2016

United States call centers generate more than a billion hours of audio recordings every year and less than 25% of the audio is made searchable or analyzed. Launching out of Y Combinator’s Winter 2016 class, DeepGram uses deep learning and GPUs hosted in the Amazon Web Services cloud to quickly index audio and make it searchable.

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