
Supercomputing Simplified in the Age of AI
NCSA and Argonne National Laboratory have created a new framework to make using AI on supercomputers a plug-and-play process.
NCSA and Argonne National Laboratory have created a new framework to make using AI on supercomputers a plug-and-play process.
Illinois Computes brings a team together to use adaptive machine learning to model novel polymer production process.
Researchers utilized the power and speed of Delta to reproduce the development methodology for speech recognition applications.
NCSA’s Seid Koric discusses a newly published paper on his work with AI
A team led by NCSA Astrophysical Sciences Program Office Director Joaquin Vieira and CAPS Fellow Kedar Phadke publish their findings in Nature.
NCSA’s own Greg Bauer knows that building and supporting a supercomputer is only part of the work. Getting the word out is just as essential.
SHIELD researchers utilized NCSA expertise in combating virus early in pandemic.
Using NCSA’s iForge and Blue Waters, UIUC researchers predicted a volcanic event at the Sierra Negra Volcano five months in advance.
Working closely with the Center’s Healthcare Innovation Program Office, the NCSA Visual Analytics team and faculty affiliates collaborate with NIH and ISB scientists to gain insight into future COVID-19 treatments.
NCSA’s Blue Waters aids researchers in estimating marginal land available for bioenergy production.
A research team led by NCSA Faculty Fellows were able to apply machine learning to human nutrition research.