当前位置: X-MOL 学术arXiv.cs.GL › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
The AI Index 2021 Annual Report
arXiv - CS - General Literature Pub Date : 2021-03-09 , DOI: arxiv-2103.06312
Daniel Zhang, Saurabh Mishra, Erik Brynjolfsson, John Etchemendy, Deep Ganguli, Barbara Grosz, Terah Lyons, James Manyika, Juan Carlos Niebles, Michael Sellitto, Yoav Shoham, Jack Clark, Raymond Perrault

Welcome to the fourth edition of the AI Index Report. This year we significantly expanded the amount of data available in the report, worked with a broader set of external organizations to calibrate our data, and deepened our connections with the Stanford Institute for Human-Centered Artificial Intelligence (HAI). The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence. Its mission is to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, executives, journalists, and the general public to develop intuitions about the complex field of AI. The report aims to be the most credible and authoritative source for data and insights about AI in the world.

中文翻译:

AI指数2021年度报告

欢迎阅读AI指数报告第四版。今年,我们大大扩展了报告中可用的数据量,与更广泛的外部组织合作以校准我们的数据,并加深了与斯坦福人类中心人工智能研究所(HAI)的联系。AI Index Report可以跟踪,整理,提取和可视化与人工智能有关的数据。其使命是为决策者,研究人员,执行人员,新闻工作者和公众提供公正,严格审查和全球来源的数据,以发展有关AI复杂领域的直觉。该报告旨在成为全球有关AI的数据和见解的最可信,最权威的来源。
更新日期:2021-03-12
down
wechat
bug