Purpose

This paper throws light on some of the nature of artificial intelligence (AI) development, which will serve as a starter for helping to advance its development.

Design/methodology/approach

This work reveals the evolutions and trends of AI from four dimensions: research, output, influence and competition through leveraging academic knowledge graph with 130,750 AI scholars and 43,746 scholarly articles.

Findings

The authors unearth that the “research convergence” phenomenon becomes more evident in current AI research for scholars' highly similar research interests in different regions. The authors notice that Pareto's principle applies to AI scholars' outputs, and the outputs have been increasing at an explosive rate in the past two decades. The authors discover that top works dominate the AI academia, for they attracted considerable attention. Finally, the authors delve into AI competition, which accelerates technology development, talent flow, and collaboration.

Originality/value

The work aims to throw light on the nature of AI development, which will serve as a starter for helping to advance its development. The work will help us to have a more comprehensive and profound understanding of the evolutions and trends, which bridge the gap between literature research and AI development as well as enlighten the way the authors promote AI development and its strategy formulation.

中文翻译：

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人工智能（AI）的演进与趋势：研究、产出、影响与竞争

目的

本文阐明了人工智能 (AI) 开发的一些性质，这将作为帮助推进其发展的开端。

设计/方法/方法

这项工作通过利用130,750名人工智能学者和43,746篇学术文章的学术知识图谱，从研究、产出、影响和竞争四个维度揭示人工智能的演变和趋势。

发现

作者发现，由于学者在不同地区的研究兴趣高度相似，“研究趋同”现象在当前人工智能研究中变得更加明显。作者注意到，帕累托原理适用于人工智能学者的产出，并且在过去的二十年里，产出一直在以爆炸性的速度增长。作者发现，顶级作品在人工智能学术界占据主导地位，因为它们引起了相当大的关注。最后，作者深入研究了加速技术开发、人才流动和协作的人工智能竞争。

原创性/价值

这项工作旨在阐明人工智能发展的本质，这将作为帮助推进其发展的开端。该工作将有助于我们对演变和趋势有更全面和深刻的认识，弥合文献研究与人工智能发展之间的鸿沟，并启发作者推动人工智能发展的方式及其战略制定。