Qi Wu receives Juror Choice Award in the 2017 Teapot Rendering Competition
Congratulations to Qi Wu, who received a Juror Choice Award in the 2017 Teapot Rendering Competition.
Read MoreCongratulations to Qi Wu, who received a Juror Choice Award in the 2017 Teapot Rendering Competition.
Read MoreScientific Computing and Imaging (SCI) Institute faculty member Rob MacLeod has been elected as President of the Board of Directors for the Computing in Cardiology Society for the next three years.
Read MoreSoftware lets scientists explore the brain in 3-D and perform “virtual dissections” By Bahar Gholipour, Spectrum on November 19, 2017 Article originally appears in Scientific American The same techniques that generate images of smoke, clouds and fantastic beasts in movies can render neurons and brain structures in fine-grained detail.
Read MoreMiriah Meyer and Kerry Kelly talk with KRCL’s RadioActive, hosted by Billy Palmer and Lara Jones, on Air Quality and You: Empowering Citizens Through Science. Low-cost commodity sensors are changing how cities and citizens measure and manage air quality. Through a suite of projects at the U we are building infrastructure that will enable real-time, fine-grained […]
Read MoreCongratulations to Valerio Pascucci and Kree Cole-McLaughlin on receiving the IEEE Visualization 15 Year Test of Time Award for their paper “Efficient computation of the topology of level sets.” Using topological approaches to analyze level sets from scalar field has been an important branch of methods in the SciVis community. While the theories of contour […]
Read MoreCongratulations to Yarden Livnat, who is part of the team who received the 2017 NERSC Award for Innovative Use of HPC for their project on scaling for a realistic simulation of an infectious disease: Massively Parallel Simulations of Spread of Infectious Diseases over Realistic Social Networks https://www.nersc.gov/news-publications/nersc-news/nersc-center-news/2017/nersc/
Read More“The only certainty…,” it is said, “is that nothing is certain.” And so it goes with computational forecasts of important events such as weather, finance, and climate. Among all of this uncertainty, however, there are patterns, likelihoods, and rarities that inform important decisions that may affect billions of dollars in resources and thousands, or even […]
Read MoreViSOAR is set to drive the visualization for the 2017 Workshop on Molecular Genetics of Hematopoietic Neoplasms, September 7-9, in Chicago, IL. The Scientific Computing and Imaging (SCI) Institute and the Center for Extreme Data Management, Analysis, and Visualization (CEDMAV), in collaboration with ARUP Laboratories and the University of Utah, Department of Neurobiology and Anatomy, […]
Read MoreWhether it’s coming up with the best design for a Formula 1 race car or understanding the effects of atrial fibrillation on the heart, developing the right simulation model for research sometimes involves equal parts applied math, engineering and computer science. University of Utah School of Computing professor Mike Kirby sees himself as the person […]
Read MoreThe SCI Institute, in partner with the School of Computing, is excited to announce the acquisition of an Nvidia DGX-1 deep learning system. This will be a shared resource that will be made available freely to all campus researchers interested in deep learning, machine learning and related areas. Big data and machine learning are major […]
Read More