Share Your Science: Leveraging Deep Learning for Personalized Drug Treatment Recommendations

Research, Computer Vision & Machine Vision, GeForce, Machine Learning & Artificial Intelligence, Medical & Life Sciences, Share Your Science

Nadeem Mohammad, posted Apr 15 2016

David Ledbetter, data scientist at the Children’s Hospital Los Angeles, shares how his team is using TITAN X GPUs and deep learning to help provide better recommendations of drug treatments for children in their pediatric intensive care unit. To train their models, 13,000 patient snapshots were created from ten years of electronic health records at

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Bringing Parallax to SHIELD

GameWorks, SHIELD Stories

Zi Ye, posted Apr 14 2016

Parallax is a first-person puzzle platformer which takes place between two overlapping dimensions. The player must weave back and forth between black and white, dodge deadly lasers, and manipulate gravity as they try to be in the right place, in the right dimension, and the right time.

With 32 challenging levels, Parallax will push your spatial reasoning skills to their limits.

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Detecting and Labeling Diseases in Chest X-Rays with Deep Learning

Research, Image Processing, Machine Learning & Artificial Intelligence, Medical & Life Sciences, Medical Imaging, Tesla

Nadeem Mohammad, posted Apr 14 2016

Researchers from the National Institutes of Health in Bethesda, Maryland are using NVIDIA GPUs and deep learning to automatically annotate diseases from chest x-rays. Accelerated by Tesla GPUs, the team trained their convolutional neural networks on a publicly available radiology dataset of chest x-rays and reports to describe the characteristics of a disease, such as

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Vulkan Multi-threading at Khronos Munich Chapter Meeting

Mathias Schott, posted Apr 12 2016

One of the great things about open standards from organizations like Khronos is the community around them. There are meetups for OpenGL and Vulkan all over the world and one of those happened last Friday where the Khronos Munich Chapter had it’s inaugural Grand Opening at AMD’s Munich office.

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First Emotionally Intelligent Speaker Trained on GPUs

News, Research, Higher Education / Academia, Internet / Communications, Machine Learning & Artificial Intelligence, Robotics, Signal / Audio Processing, Tesla

Nadeem Mohammad, posted Apr 12 2016

Created by researchers at the Hong Kong University of Science and Technology, the MoodBox speaker is billed as the first ever high quality wireless speaker that senses human emotions. Using NVIDIA Tesla GPUs and deep learning, the speaker operates with cutting edge sensory recognition technology named “Emi”. Emi collects and analyzes audio signals and music

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