Developer Spotlight: Defending the Planet Against Asteroids with Artificial Intelligence

Research, Astronomy & Astrophysics, Cluster / Supercomputing, Defense, Developer Spotlight, GeForce, Government / National Labs, Image Recognition, Jetson, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Mar 15 2017

James Parr, co-director of the NASA Frontier Development Lab (FDL) shares how NVIDIA GPUs and deep learning can help detect, characterize and deflect asteroids. The FDL hosted 12 standout graduate students for an internship to take on the White House’s Asteroid Grand Challenge, an ongoing program that aims to get researchers to “find all asteroid

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VRWorks SDK 2.3 Now Available

GameWorks, VRWorks

Anthony Cascio, posted Mar 15 2017

NVIDIA has released the new VRWorks SDK for application and headset developers along with the GeForce driver version 378.78.

The driver is available for download at: https://www.nvidia.com/download/index.aspx and the SDK has been posted at https://developer.nvidia.com/vrworks.

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AI Predicts Athletes’ On-Field Decision-Making

Research, Higher Education / Academia, Media & Entertainment

Nadeem Mohammad, posted Mar 10 2017

Researchers at Disney, California Institute of Technology and STATS, a supplier of sports data developed a deep learning-based technique that provides coaches and teams with a quicker tool to help assess defensive athletic performance in any game situation. The method analyzes game data on player and ball positions to create models, or “ghosts,” of how

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AI-based Mobile App Tests for Parkinson’s in Minutes

Research, Healthcare & Life Sciences, Higher Education / Academia, Machine Learning & Artificial Intelligence, Medical Imaging, Tesla

Nadeem Mohammad, posted Mar 09 2017

UK researchers developed a smartphone app using deep learning that lets people with Parkinson’s disease test their symptoms at home in just four minutes. “There’s very little understanding as to how Parkinson’s arises, and patients say that every day the condition is different,” says George Roussos at Birkbeck, University of London and co-author of the

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Train and Deploy Deep Learning Applications with NVIDIA DIGITS 5 and New TensorRT

News, Research, DIGITS, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Software, tensort

Nadeem Mohammad, posted Mar 08 2017

Today we are announcing the production release of NVIDIA DIGITS 5 and  NVIDIA TensorRT. DIGITS is an interactive deep neural network training application for developers to rapidly train highly accurate neural networks for image classification, segmentation and object detection. Trained models can be deployed to the cloud, PC, embedded or automotive GPU platforms, with TensorRT

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