Share Your Science: Extracting Information from Images

Research, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Share Your Science

Nadeem Mohammad, posted Jan 19 2017

Anton van den Hengel, director of The University of Adelaide’s Australian Centre for Visual Technologies shares how his research group is working on Visual Question Answering (VQA) which uses deep learning to understand the contents of an image. “The data has been around for a while, but really the GPU technology coming in and allowing

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Lens Matched Shading and Unreal Engine 4 Integration Part 1

GameWorks, GameWorks Expert Developer, Unreal Engine 4, VRWorks

Edward Liu, posted Jan 18 2017

Introduction

Lens Matched Shading (LMS) is one of the new technologies introduced along with the Pascal architecture, with the specific purpose of improving the performance and efficiency of Virtual Reality (VR) rendering. LMS achieves both better perf and perceived image quality than Maxwell's Multi Resolution Shading (MRS) technique.

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App Helps Fishermen Instantly ID Their Catch

News, Cloud, CUDA, cuDNN, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment, Tesla

Nadeem Mohammad, posted Jan 17 2017

Not sure which fish you caught? FishVerify uses artificial intelligence to help fishermen instantly identify their catch and learn local fishing regulations related to that specific specie. With over 80 years of fishing experience combined, the three founders found themselves still stumped by the mysterious fish they caught in the Florida waters. Using CUDA, Tesla

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AI Predicts When Heart Will Fail

Research, CUDA, Healthcare & Life Sciences, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Jan 17 2017

Scientists from Imperial College London developed 3D virtual hearts from MRI scans to predict heart disease outcomes. “This is the first time computers have interpreted heart scans to accurately predict how long patients will live. It could transform the way doctors treat heart patients,” said Dr Declan O’Regan, lead author from the Imperial College London

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Share Your Science: Fighting Ebola with Supercomputer Simulations

Research, Cluster / Supercomputing, Computational Chemistry, Healthcare & Life Sciences, Higher Education / Academia, Molecular Dynamics, Share Your Science, Tesla

Nadeem Mohammad, posted Jan 16 2017

Thomas Cheatham, professor of Medicinal Chemistry and the director of research computing at University of Utah shares how they’re using the GPU-accelerated Blue Waters supercomputer and NVLink to compute the interactions of atoms that can lead to drug design and materials design.    “The GPUs have been really helpful, because we’ve optimized our codes (AMBER, a

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