Training Next Generation AI Users and Developers at NCSA

Fuente: arXiv
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Autori principali: Katz, Daniel S., Kindratenko, Volodymyr, Kindratenko, Olena, Mazumdar, Priyam
Natura: Preprint
Pubblicazione: 2024
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author Katz, Daniel S.
Kindratenko, Volodymyr
Kindratenko, Olena
Mazumdar, Priyam
author_facet Katz, Daniel S.
Kindratenko, Volodymyr
Kindratenko, Olena
Mazumdar, Priyam
contents This article focuses on training work carried out in artificial intelligence (AI) at the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign via a research experience for undergraduates (REU) program named FoDOMMaT. It also describes why we are interested in AI, and concludes by discussing what we've learned from running this program and its predecessor over six years.
format Preprint
id arxiv_https___arxiv_org_abs_2406_14744
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Training Next Generation AI Users and Developers at NCSA
Katz, Daniel S.
Kindratenko, Volodymyr
Kindratenko, Olena
Mazumdar, Priyam
Artificial Intelligence
This article focuses on training work carried out in artificial intelligence (AI) at the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign via a research experience for undergraduates (REU) program named FoDOMMaT. It also describes why we are interested in AI, and concludes by discussing what we've learned from running this program and its predecessor over six years.
title Training Next Generation AI Users and Developers at NCSA
topic Artificial Intelligence
url https://arxiv.org/abs/2406.14744