This project will use two software tools developed by NCSA: the Clowder Framework and the Geostreaming Data Framework.
This project will use two software tools developed by NCSA: the Clowder Framework and the Geostreaming Data Framework.
The funded projects will span nearly every facet of digital agriculture, from crop sciences to deep learning.
A team from the National Center for Supercomputing Applications (NCSA) used artificial intelligence on XSEDE systems to obtain a correction factor for merger simulations.
A Cornell University researcher taps work he did using NCSA’s Blue Waters supercomputer to fix a problem that’s puzzled researchers for nearly 40 years.
The NCSA Faculty Fellowship is a competitive program for faculty and researchers at the University of Illinois which provides seed funding for new collaborations that include NCSA staff as integral contributors to the project.
As everyone at NCSA and beyond continues to adapt to working from home during the COVID-19 Pandemic, the Cybersecurity and Networking Division helps to alleviate stressors and worries with technology.
Four NCSA Gravity Group interns share bright plans for their futures post graduation.
Tulin Kaman, a researcher at the University of Arkansas, has used the Blue Waters Undergraduate Internship program to offer students hands-on HPC research experience.
Workshops held by the Midwest Big Data Hub help to improve data skills across a variety of midwestern states.
Three newly funded projects from the C3.ai Digital Transformation Institute will enable researchers to 1) model the spread of COVID-19 for intervention policies, 2) model homelessness caused by the shutdown and target aid for at-risk communities, and 3) develop machine intelligence methods to aid in the interrogation of medical images from COVID-19 patients.