Share Your Science: Pushing the Limits of Computational Photography

News, Research, Algorithms & Numerical Techniques, Computational Photography, GTC, Machine Learning & Artificial Intelligence, Share Your Science

Nadeem Mohammad, posted Apr 05 2016

Daniel Ambrosi, Artist and Photographer, is using NVIDIA GPUs in the Amazon cloud and CUDA to create giant 2D-stitched HDR panoramas called “Dreamscapes.” Ambrosi applies a modified version of Google’s DeepDream neural net visualization code to his original panoramic landscape images to create truly one-of-a-kind pieces of art. For more information visit http://www.danielambrosi.com/Dreamscapes. Share your

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Share Your Science: Artificial Intelligent Robot for Children

News, GTC, Internet / Communications, Machine Learning & Artificial Intelligence, Robotics, Share Your Science, Tesla

Nadeem Mohammad, posted Apr 05 2016

Yi-Jian Wu, Founder & CEO of Yuanqu Tech in China, talks about how NVIDIA Tesla GPUs are being used to train their interactive educational robot for children. Call the robot’s name and the speech-controlled robot is able to tell jokes, answer educational questions, teach English and act as a patient tutor for a child.  For

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Share Your Science: Using Virtual Reality to Optimize User Experience

News, Business Intelligence & Analytics, GTC, Machine Learning & Artificial Intelligence, Share Your Science, Virtual Reality

Nadeem Mohammad, posted Apr 05 2016

EASE VR Co-Founders Prithvi Kandanda, CEO and Fred Spencer, CTO share how they are using NVIDIA GPUs and real-time analytics to understand a user’s behavior in virtual environments. Use cases and applications vary across industries and including retail, sports, social, manufacturing, and entertainment. Learn more about EASE VR at https://easevr.com. Share your GPU-accelerated science with

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Hybrid Frustum Traced Shadows

HFTS, GameWorks, GameWorks Expert Developer

Jon Story, posted Apr 05 2016

I recently delivered a presentation on “Advanced Geometrically Correct Shadows for Modern Game Engines” at GDC 2016. If you weren’t fortunate enough to attend GDC, then you can catch up with what I was talking about right here! The presentation itself can be found on our developer website:

https://developer.nvidia.com/gameworks

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Inside Pascal: NVIDIA’s Newest Computing Platform

Features, Deep Learning, GPU, pascal, Tesla P100, Unified Memory

Nadeem Mohammad, posted Apr 05 2016

Today at the 2016 GPU Technology Conference in San Jose, NVIDIA CEO Jen-Hsun Huang announced the new NVIDIA Tesla P100, the most advanced accelerator ever built. Based on the new NVIDIA Pascal GP100 GPU and powered by ground-breaking technologies, Tesla P100 delivers the highest absolute performance for HPC, technical computing, deep learning, and many computationally

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