Detecting Concussions with a Smartphone and Deep Learning

Artificial Intelligence, Features, cuDNN, GeForce, Healthcare & Life Sciences, Higher Education/Academia, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Sep 11 2017

Researchers from University of Washington developed a smartphone app that can detect concussions and other brain injuries — whether on the sidelines of a sports game or at an accident site.

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NVIDIA Sponsors “Learning to Run” AI Competition at NIPS 2017

Artificial Intelligence, Features, Robotics, Healthcare & Life Sciences, Higher Education/Academia, Machine Learning & Artificial Intelligence, physics

Nadeem Mohammad, posted Sep 08 2017

Participants in the Neural Information Processing Systems (NIPS) conference “Learning to Run” competition are vying for the chance to win an NVIDIA DGX Station, the fastest personal supercomputer for researchers and data scientists.

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Major Upgrade to National Institutes of Health Supercomputer

Research, Bioinformatics & Genomics, Cluster/Supercomputing, Computational Chemistry, Government/National Labs, Healthcare & Life Sciences, Tesla

Nadeem Mohammad, posted Aug 03 2017

The Biowulf supercomputer at the National Institutes of Health (NIH) received an upgrade with the addition of 144 NVIDIA GPUs to help researchers discover new cures and save lives.

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Supercomputers Reveal How the HIV Virus Moves

Research, Cluster/Supercomputing, Healthcare & Life Sciences, Higher Education/Academia, Tesla

Nadeem Mohammad, posted Jul 20 2017

University of Illinois scientists used two GPU-accelerated supercomputers to simulate the behavior of 64 million atoms to capture 1.2 microseconds of the life of an HIV capsid.

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CSIRO Powers Bionic Vision Research with New GPU-Accelerated Supercomputer

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

Nadeem Mohammad, posted Jul 19 2017

The Commonwealth Scientific and Industrial Research Organisation (CSIRO) in Australia welcomed a new large scale scientific computing system to expand their capability in deep learning, a key approach to furthering progress towards artificial intelli

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NVIDIA Grant Alert: Up to $400K Available for Cancer Research

Features, News, Research, Healthcare & Life Sciences, Higher Education / Academia, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jul 10 2017

The NVIDIA Foundation is now accepting proposals for its annual Compute the Cure Cancer Research grant program, which supports researchers using innovative computing methods to advance the fight against cancer.

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Diagnose Heart Disease with AI

Research, cuDNN, GeForce, Healthcare & Life Sciences, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Medical Imaging

Nadeem Mohammad, posted Jul 07 2017

Stanford researchers developed a deep learning algorithm that can diagnose 14 types of heart rhythm abnormalities with cardiologist-level accuracy.

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Reducing the Risk of Second Breast Cancer Surgery with AI

Research, cuDNN, GeForce, Healthcare & Life Sciences, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Medical Imaging

Nadeem Mohammad, posted Jun 27 2017

Researchers from Lehigh University in Pennsylvania developed a diagnostic technique that combines deep learning and cutting-edge imaging technology to detect in real-time the difference between cancerous and benign cells with over 90% accuracy.

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Predicting Bond Energies with AI

Research, Computational Chemistry, cuDNN, Healthcare & Life Sciences, Higher Education / Academia, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Jun 20 2017

University of Notre Dame researchers developed a deep learning-based system that can accurately determine bond energies.

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Predicting Aggressive Prostate Cancer with AI

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

Nadeem Mohammad, posted Jun 13 2017

University of Alberta scientists developed a deep learning-based prostate cancer diagnostic platform that only uses a single drop of blood which will allow men to bypass the current painful biopsy methods.

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