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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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Názov: The Evolution of Artificial Intelligence in the Digital Economy: An Application of the Potential Dirichlet Allocation Model
Autori: Chunyi Shan, Jun Wang, Yongming Zhu
Zdroj: Sustainability, Vol 15, Iss 1360, p 1360 (2023)
Informácie o vydavateľovi: MDPI AG
Rok vydania: 2023
Zbierka: Directory of Open Access Journals: DOAJ Articles
Predmety: 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
Popis: 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.
Druh dokumentu: article in journal/newspaper
Jazyk: 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
Dostupnosť: https://doi.org/10.3390/su15021360
https://doaj.org/article/4faccb854915419daa2677b3c6e77dba
Prístupové číslo: edsbas.2C53D8A
Databáza: BASE
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  Data: The Evolution of Artificial Intelligence in the Digital Economy: An Application of the Potential Dirichlet Allocation Model
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  Data: <searchLink fieldCode="AR" term="%22Chunyi+Shan%22">Chunyi Shan</searchLink><br /><searchLink fieldCode="AR" term="%22Jun+Wang%22">Jun Wang</searchLink><br /><searchLink fieldCode="AR" term="%22Yongming+Zhu%22">Yongming Zhu</searchLink>
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  Data: Sustainability, Vol 15, Iss 1360, p 1360 (2023)
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  Data: 2023
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  Data: 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.
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  Data: 10.3390/su15021360
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      – SubjectFull: digital economy
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