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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University of Bristol’s New Tesla P100-Accelerated Supercomputer

Research, Aerospace, Astronomy & Astrophysics, Climate/Weather/Ocean Modeling, Cluster / Supercomputing, Healthcare & Life Sciences, Higher Education / Academia

Nadeem Mohammad, posted May 31 2017

Three times faster than its predecessor, Blue Crystal 4 (BC4) at University of Bristol can perform 600 trillion calculations per second and will accelerate the work of more than 1,000 researchers and engineers. According to Dr.

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Artificial Intelligence Could Help Diagnose Tuberculosis

Research, CUDA, cuDNN, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Apr 25 2017

Researchers from Thomas Jefferson University Hospital in Philadelphia are training deep learning models to identify tuberculosis (TB) in an effort to help patients in regions with limited access to radiologists.

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Deep Learning Predicts the Look of Cells

Features, Research, cuDNN, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence, Medical Imaging

Nadeem Mohammad, posted Apr 07 2017

The Allen Institute for Cell Science launched a one-of-a-kind online portal of 3D cell images called Allen Cell Explorer that were produced using deep learning.

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Get the Best Performance for Your Neural Networks with TensorRT

Research, Automotive, Embedded, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Apr 03 2017

NVIDIA TensorRT is a high-performance deep learning inference library for production environments.

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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.

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Google Uses AI to Diagnose Breast Cancer

Features, Research, CUDA, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence, Medical Imaging, Tesla

Nadeem Mohammad, posted Mar 03 2017

Google researchers developed a deep learning-based framework that automatically identifies tumors.

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Developer Spotlight: Computational Fluid Dynamics for Surgical Planning

Research, Computational Fluid Dynamics (CFD), Healthcare & Life Sciences, Higher Education / Academia, Machine Learning & Artificial Intelligence, Medical Imaging, OpenACC, Share Your Science, Tesla

Nadeem Mohammad, posted Feb 23 2017

Todd Raeker, Research Technology Consultant at the University of Michigan shares how a group of 50 researchers at University of Michigan are using GPUs and OpenACC to accelerate the codes for their data-driven physics simulations.

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