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The Evolution of Artificial Intelligence in the Digital Economy: An Application of the Potential Dirichlet Allocation Model

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Bibliographic Details
Title: The Evolution of Artificial Intelligence in the Digital Economy: An Application of the Potential Dirichlet Allocation Model
Authors: Chunyi Shan, Jun Wang, Yongming Zhu
Source: Sustainability, Vol 15, Iss 1360, p 1360 (2023)
Publisher Information: MDPI AG
Publication Year: 2023
Collection: Directory of Open Access Journals: DOAJ Articles
Subject Terms: artificial intelligence, digital economy, technology evolution, LDA model, Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, GE1-350
Description: The most critical driver of the digital economy comes from breakthroughs in cutting-edge technologies such as artificial intelligence. In order to promote technological innovation and layout in the field of artificial intelligence, this paper analyzes the patent text of artificial intelligence technology using the LDA topic model from the perspective of the patent technology subject based on Derwent patent data. The results reveal that AI technology is upgraded from chips, sensing, and algorithms to innovative platforms and intelligent applications. Proposed countermeasures are necessary to advance the digitalization of the global economy and to achieve economic globalization in terms of industrial integration, building ecological systems, and strengthening independent innovation.
Document Type: article in journal/newspaper
Language: English
Relation: https://www.mdpi.com/2071-1050/15/2/1360; https://doaj.org/toc/2071-1050; https://doaj.org/article/4faccb854915419daa2677b3c6e77dba
DOI: 10.3390/su15021360
Availability: https://doi.org/10.3390/su15021360
https://doaj.org/article/4faccb854915419daa2677b3c6e77dba
Accession Number: edsbas.2C53D8A
Database: BASE
Description
Abstract:The most critical driver of the digital economy comes from breakthroughs in cutting-edge technologies such as artificial intelligence. In order to promote technological innovation and layout in the field of artificial intelligence, this paper analyzes the patent text of artificial intelligence technology using the LDA topic model from the perspective of the patent technology subject based on Derwent patent data. The results reveal that AI technology is upgraded from chips, sensing, and algorithms to innovative platforms and intelligent applications. Proposed countermeasures are necessary to advance the digitalization of the global economy and to achieve economic globalization in terms of industrial integration, building ecological systems, and strengthening independent innovation.
DOI:10.3390/su15021360