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Identifying and measuring developments in artificial intelligence / Stefano Baruffald ... [et al.] : Making the impossible possible

By: Contributor(s): Series: OECD Science, Technology and Industry Working PapersPublication details: París : OECD Publishing, 2020Description: 68 p. : : gráf. ; 1 documento PDFContent type:
  • texto (visual)
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  • electrónico
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  • recurso en línea
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Summary: This paper identifies and measures developments in science, algorithms and technologies related to artificial intelligence (AI). Using information from scientific publications, open source software (OSS) and patents, it finds a marked increase in AI-related developments over recent years. Since 2015, AI-related publications have increased by 23% per year; from 2014 to 2018, AI-related OSS contributions grew at a rate three times greater than other OSS contributions; and AI-related inventions comprised, on average, more than 2.3% of IP5 patent families in 2017. China’s growing role in the AI space also emerges. The analysis relies on a three-pronged approach based on established bibliometric and patent-based methods, and machine learning (ML) implemented on purposely collected OSS data
List(s) this item appears in: Economía del dato e IA
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Informes CDO Colección digital Paper Acceso libre online .pdf, .read 1000020176175

Bibliografía: p. 35-38

This paper identifies and measures developments in science, algorithms and technologies related to artificial intelligence (AI). Using information from scientific publications, open source software (OSS) and patents, it finds a marked increase in AI-related developments over recent years. Since 2015, AI-related publications have increased by 23% per year; from 2014 to 2018, AI-related OSS contributions grew at a rate three times greater than other OSS contributions; and AI-related inventions comprised, on average, more than 2.3% of IP5 patent families in 2017. China’s growing role in the AI space also emerges. The analysis relies on a three-pronged approach based on established bibliometric and patent-based methods, and machine learning (ML) implemented on purposely collected OSS data

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