谋划国家人工智能科研资源布局，推动算力数据模型协同共享。
Envisioning National Resources for Artificial Intelligence Research: NSF Workshop Report
- 汇聚AI与网络基础设施专家，共议国家科研资源建设路径。
- 提出算力、数据、模型等核心资源的协同需求与共享机制。
- 适合关注国家AI战略与科研基础设施的政策制定者与研究者。
本文是2024年5月在弗吉尼亚州亚历山大市举行的美国国家科学基金会（NSF）研讨会《谋划国家人工智能研究资源》的报告。会议聚焦人工智能研究所需国家资源（如计算能力、数据、模型等）的初始挑战与机遇，旨在推动建设国家级人工智能研究资源平台。参会者包括人工智能与网络基础设施（CI）领域的专家。报告总结了会议的核心发现，明确了资源需求与关键建议，为后续规划提供依据。
原文摘要 · Abstract (English)
This is a report of an NSF workshop titled "Envisioning National Resources for Artificial Intelligence Research" held in Alexandria, Virginia, in May 2024. The workshop aimed to identify initial challenges and opportunities for national resources for AI research (e.g., compute, data, models, etc.) and to facilitate planning for the envisioned National AI Research Resource. Participants included AI and cyberinfrastructure (CI) experts. The report outlines significant findings and identifies needs and recommendations from the workshop.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。