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.

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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 dru

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Predicting Your Brain Age From MRI Scans

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

Nadeem Mohammad, posted Dec 12 2016

Researchers from King’s College London developed a deep learning system to measure brain age using raw data from an MRI scanner that can help reveal the onset of conditions such as dementia.

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Reinventing the Hearing Aid with Deep Learning

Research, CUDA, cuDNN, GeForce, Healthcare & Life Sciences, Higher Education / Academia, Machine Learning & Artificial Intelligence, Signal / Audio Processing

Nadeem Mohammad, posted Dec 08 2016

Researchers at Ohio State University developed a GPU-accelerated program that can isolate speech from background noise and automatically adjust the volumes of each separately.

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Artificial Intelligence Generates Christmas Song From Holiday Image

Features, Research, CUDA, cuDNN, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment, Tesla

Nadeem Mohammad, posted Nov 30 2016

Researchers from University of Toronto developed an AI system that creates and then sings a Christmas song based by analyzing the visual components of an uploaded image.

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Developing an Autonomous Bot is a Walk in the Park

Events, Features, Automotive, DIGITS, Embedded, Higher Education / Academia, Image Recognition, Jetson, Machine Learning & Artificial Intelligence, Robotics

Nadeem Mohammad, posted Nov 22 2016

Each November for the last decade, Tsukuba City in Japan has run a 2,000-meter race unlike just about any other in the world.

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Winning Team Sets Record at SC16 Student Cluster Competition

Events, Features, Cluster / Supercomputing, GeForce, Higher Education / Academia, Tesla

Nadeem Mohammad, posted Nov 21 2016

A team from the University of Science and Technology of China (USTC) used 16 NVIDIA GPUs to pull off an SC first, winning both the first place prize for highest overall score and the highest LINPACK run at the SC16 supercomputing show in Salt Lake Ci

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Lip Reading AI More Accurate Than Humans

Features, Research, CUDA, GeForce, Higher Education / Academia, Image Recognition, Internet / Communications, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Nov 18 2016

Researchers from Google’s DeepMind and the University of Oxford developed a deep learning system that outperformed a professional lip reader.

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Supercomputer Helps Understand How Jupiter Evolved

Research, Astronomy & Astrophysics, Cluster / Supercomputing, cu, Government / National Labs, Higher Education / Academia, Tesla

Nadeem Mohammad, posted Nov 02 2016

Researchers from ETH Zürich and the Universities of Zürich and Bern simulated different scenarios on the computing power of the GPU-accelerated Swiss National Supercomputing Centre (CSCS) to find out how young giant planets exactly form and evolve.

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Automated Analysis of Disaster Damage

Research, cuDNN, GeForce, Higher Education / Academia, Image Recognition

Nadeem Mohammad, posted Oct 28 2016

Researchers from Purdue University are using deep learning to dramatically reduce the time it takes for engineers to assess damage to buildings after disasters.

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