AI-Powered Flying Camera to Replace Your Selfie Stick

News, Image Processing, Machine Learning & Artificial Intelligence, Robotics, Tesla, Video Processing

Nadeem Mohammad, posted May 03 2016

After raising $25 million in funding, Beijing-based ZeroZero Robotics came out of stealth mode and launched their Hover Camera just days before the GMIC Beijing 2016 trade show, the ‘CES of China.’ Co-founder MQ Wang, a Stanford PhD alum focused on machine learning and natural language processing, was inspired to create the autonomous Hover Camera

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Bringing Super Mega Baseball to SHIELD

NVIDIA Shield, SHIELD Stories, GameWorks

Christian Zuger, posted May 02 2016

Tight controls and a smooth learning curve have players knocking it out of the park in no time in this arcade baseball simulator, named Polygon’s 2014 Sports Game of the Year.

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GPU-Accelerated Model Reveals Details of Nuclear Fission

Research, Astronomy & Astrophysics, Cluster / Supercomputing, Government / National Labs, Higher Education / Academia, Medical & Life Sciences, physics, Tesla

Nadeem Mohammad, posted May 02 2016

Scientists from University of Washington, Warsaw University of Technology in Poland, Pacific Northwest National Laboratory, and Los Alamos National Laboratory, have developed a model that provides a detailed look at what happens during the last stages of the fission process. According to their research paper, nuclear fission has almost reached the venerable age of 80

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Creating Realistic Materials for the Hyundai Genesis

News, Automotive, Computer Aided Design (CAD), Computer Graphics & Visualization, GTC

Nadeem Mohammad, posted Apr 29 2016

At the 2016 GPU Technology Conference (GTC), Hyundai presented how they used GPU-accelerated design software to create a full set of virtual materials for the exterior and interior of the Hyundai Genesis G380. David Nikel, Digital Model Manager at Hyundai California Design Studio, explained the challenges involved in creating and refining new realistic materials, and

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Share Your Science: Finding Interesting Statistics from Massive Datasets

Research, Algorithms & Numerical Techniques, Big Data & Data Mining, Business Intelligence & Analytics, Higher Education / Academia, Share Your Science, Tesla

Nadeem Mohammad, posted Apr 27 2016

Adam McLaughlin, PhD student at Georgia Tech shares how he is using NVIDIA Tesla GPUs for his research on Betweenness Centrality – a graph analytics algorithm that tracks the most important vertices within a network. This can be applied to a broad range of applications, such as finding the head of a crime ring or

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