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.
A group of Chinese ophthalmologists and scientists developed a deep learning algorithm to identify congenital cataracts, a rare eye disease responsible for nearly 10 percent of all vision loss in children worldwide.
Le Lu, staff scientist at the National Institutes of Health (NIH) shares how they are applying artificial intelligence techniques to assist cancer clinicians make better diagnostic decisions. Using NVIDIA Tesla GPUs and the cuDNN-accelerated Caffe d
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.
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