Summary of Envisioning National Resources For Artificial Intelligence Research: Nsf Workshop Report, by Shantenu Jha and Yolanda Gil
Envisioning National Resources for Artificial Intelligence Research: NSF Workshop Report
by Shantenu Jha, Yolanda Gil
First submitted to arxiv on: 13 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Distributed, Parallel, and Cluster Computing (cs.DC); Emerging Technologies (cs.ET)
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| 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 NSF workshop “Envisioning National Resources for Artificial Intelligence Research” aimed to identify challenges and opportunities for national resources in AI research, focusing on compute, data, models, and more. Participants included AI and cyberinfrastructure experts who discussed initial findings, needs, and recommendations. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AI researchers gathered at a workshop to explore the future of national resources for artificial intelligence. They talked about what’s missing and what they need to make progress in this field. The meeting was important because it helps plan for new tools that will make AI research better. |
