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Summary of Training Next Generation Ai Users and Developers at Ncsa, by Daniel S. Katz et al.


Training Next Generation AI Users and Developers at NCSA

by Daniel S. Katz, Volodymyr Kindratenko, Olena Kindratenko, Priyam Mazumdar

First submitted to arxiv on: 20 Jun 2024

Categories

  • Main: Artificial Intelligence (cs.AI)
  • Secondary: None

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GrooveSquid.com Paper Summaries

GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!

Summary difficulty Written by Summary
High Paper authors High Difficulty Summary
Read the original abstract here
Medium GrooveSquid.com (original content) Medium Difficulty Summary
The paper discusses an artificial intelligence (AI) research experience for undergraduates (REU) program called FoDOMMaT at the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign. The program, running for six years, focuses on training and education in AI. This article shares the reasoning behind the program’s establishment, as well as lessons learned from its predecessors. The program’s goals and achievements are highlighted, providing insights into the importance of nurturing AI talent.
Low GrooveSquid.com (original content) Low Difficulty Summary
This paper talks about a special summer program called FoDOMMaT that teaches students about artificial intelligence (AI). It’s run by a group at the University of Illinois. They want to help young people learn more about AI, which is becoming very important in our world. This article shares what they’ve learned from running this program for six years.

Keywords

» Artificial intelligence