The 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 factors shaping research and innovation now and will continue to be so in the foreseeable future. Deep learning represents the state-of-the-art in machine learning and data analysis.
Research with Fluorender highlighted on the NIH Director's Blog. Posted on July 27, 2017 by Dr. Francis Collins
Twice a week, I do an hour of weight training to maintain muscle strength and tone. Millions of Americans do the same, and there's always a lot of attention paid to those upper arm muscles—the biceps and triceps. Less appreciated is another arm muscle that pumps right along during workouts: the brachialis. This muscle—located under the biceps—helps your elbow flex when you are doing all kinds of things, whether curling a 50-pound barbell or just grabbing a bag of groceries or your luggage out of the car.
Research Initiative Seeks to Understand Neural Pathways in Deep Brain Stimulation
The University of Utah Neuroscience Initiative recently announced Christopher Butson, PhD, Associate Professor in Bioengineering and the Scientific Computing and Imaging Institute, was awarded funding for his project, "Differentiating Neural Circuits Modulated During Therapeutic Versus Ineffective Deep Brain Stimulation".
University of Utah bioengineers detect early signs of damage in connective tissues such as ligaments, tendons and cartilage
By the time someone realizes they damaged a ligament, tendon or cartilage from too much exercise or other types of physical activity, it's too late. The tissue is stretched and torn and the person is writhing in pain.
But a team of researchers led by University of Utah bioengineering professors Jeffrey Weiss and Michael Yu has discovered that damage to collagen, the main building block of all human tissue, can occur much earlier at a molecular level from too much physical stress, alerting doctors and scientists that a patient is on the path to major tissue damage and pain.
Abstract: We describe our experience designing and delivering a general education technological fluency course that frames the discussion of computer science and engineering technology (electronics and programming) in the context of sound-art: art that uses sound as its medium. This course is aimed at undergraduate students from a wide variety of backgrounds and is designed to fit into the "Intellectual Explorations" area of a general undergraduate program. The goal is to introduce computer engineering and computational principles to non-CS students through an exploration of sound-art, experimental and electronic music, noise-making circuits, hardware hacking, and circuit bending.
Early Science Projects for Aurora Supercomputer Announced
Congratulations to Martin Berzins and the Carbon-Capture Multidisciplinary Simulation Center on their selection as one of ten computational science and engineering research projects for its Aurora Early Science Program starting this month. Aurora, a massively parallel, manycore Intel-Cray supercomputer, will be ALCF's next leadership-class computing resource and is expected to arrive in 2018.
Congratulations to SCI Institute Alumnus Thiago Ize for receiving a Technical Achievement Oscar for his work on ray tracing:
To Marcos Fajardo for the creative vision and original implementation of the Arnold Renderer, and to Chris Kulla, Alan King, Thiago Ize and Clifford Stein for their highly optimized geometry engine and novel ray-tracing algorithms which unify the rendering of curves, surfaces, volumetrics and subsurface scattering as developed at Sony Pictures Imageworks and Solid Angle SL.