标题： 计算资源在发布基础模型研究中的作用 显示英文标题

标题： The Role of Computing Resources in Publishing Foundation Model Research

摘要： 前沿的人工智能（AI）研究需要大量的资源，包括图形处理单元（GPUs）、数据和人力资源。 在本文中，我们评估了这些资源与基础模型（FM）的科学进步之间的关系。 我们回顾了2022年至2024年间发表的6517篇FM论文，并调查了229位第一作者，以了解计算资源对科学产出的影响。 我们发现，增加的计算资源与国家资金分配和引用次数相关，但我们的研究结果并未观察到与研究环境（学术或工业）、领域或研究方法的强相关性。 我们建议个人和机构专注于创造共享且负担得起的计算机会，以降低资源不足研究人员的进入门槛。 这些步骤可以帮助扩大FM研究的参与度，促进思想和贡献者的多样性，并维持AI领域的创新和进展。 数据将可在以下网址获取：https://mit-calc.csail.mit.edu/ 显示英文摘要

摘要： Cutting-edge research in Artificial Intelligence (AI) requires considerable resources, including Graphics Processing Units (GPUs), data, and human resources. In this paper, we evaluate of the relationship between these resources and the scientific advancement of foundation models (FM). We reviewed 6517 FM papers published between 2022 to 2024, and surveyed 229 first-authors to the impact of computing resources on scientific output. We find that increased computing is correlated with national funding allocations and citations, but our findings don't observe the strong correlations with research environment (academic or industrial), domain, or study methodology. We advise that individuals and institutions focus on creating shared and affordable computing opportunities to lower the entry barrier for under-resourced researchers. These steps can help expand participation in FM research, foster diversity of ideas and contributors, and sustain innovation and progress in AI. The data will be available at: https://mit-calc.csail.mit.edu/