Deep Learning System Improves Breast Cancer Detection

Features, Research, Caffe, cuDNN, Higher Education / Academia, Image Processing, Machine Learning & Artificial Intelligence, Medical and Life Sciences, Tesla

Nadeem Mohammad, posted Jun 23 2016

Researchers from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School have developed a deep learning approach to read and interpret pathology images. Trained on Tesla K80 GPUs with the cuDNN-accelerated Caffe deep learning framework, their system achieved 92 percent accuracy at identifying breast cancer in images of lymph nodes which earned them the

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Uncovering Treatments for Addiction and Depression with GPU-Accelerated Supercomputing

Research, Cluster / Supercomputing, Computational Chemistry, Government / National Labs, Higher Education / Academia, Medical and Life Sciences, Molecular Dynamics, Tesla

Nadeem Mohammad, posted Jun 22 2016

A team lead by Cornell University researchers are using the Titan Supercomputer at Oak Ridge National Laboratory to study mechanisms of sodium-powered transporters in cell-to-cell communications. Harel Weinstein’s lab at the Weill Cornell Medical College of Cornell University have constructed complex 3D molecular models of a specific family of neurotransmitter transporters called neurotransmitter sodium symporters

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NVIDIA Announces New Deep Learning Software for Developers

Features, News, Automotive, CUDA, cuDNN, Defense, Development Tools & Libraries, DIGITS, Image Processing, Machine Learning & Artificial Intelligence, Video Processing

Nadeem Mohammad, posted Jun 20 2016

Just in time for the International Supercomputing show (ISC 2016) and International Conference on Machine Learning (ICML 2016), NVIDIA announced three new deep learning software tools for data scientists and developers to make the most of the vast opportunities in deep learning. NVIDIA DIGITS 4   A new workflow for training object detection neural networks

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Production Deep Learning with NVIDIA GPU Inference Engine

Features, Deep Learning, Deep Neural Networks, GPU Inference Engine, Inference

Nadeem Mohammad, posted Jun 19 2016

Today at ICML 2016, NVIDIA announced its latest Deep Learning SDK updates, including DIGITS 4, cuDNN 5.1 (CUDA Deep Neural Network Library) and the new GPU Inference Engine. NVIDIA GPU Inference Engine (GIE) is a high-performance deep learning inference solution for production environments. Power efficiency and speed of response are two key metrics for deployed

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Inside Pascal: NVIDIA’s Newest Computing Platform

Features, Deep Learning, GPU, pascal, Tesla P100, Unified Memory

Nadeem Mohammad, posted Jun 19 2016

At the 2016 GPU Technology Conference in San Jose, NVIDIA CEO Jen-Hsun Huang announced the new NVIDIA Tesla P100, the most advanced accelerator ever built. Based on the new NVIDIA Pascal GP100 GPU and powered by ground-breaking technologies, Tesla P100 delivers the highest absolute performance for HPC, technical computing, deep learning, and many computationally intensive

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