Identifying and measuring developments in artificial intelligence : making the impossible possible / Stefano Baruffaldi, Brigitte van Beuzekom, Hélène Dernis, Dietmar Harhoff, Nandan Rao, David Rosenfeld, Mariagrazia Squicciarini
Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: OECD science, technology and industry working papers ; 2020, 05Publisher: Paris, France : OECD, [2020]Description: 1 Online-Ressource (circa 68 Seiten) : IllustrationenSubject(s): Genre/Form: DOI: DOI: 10.1787/5f65ff7e-enOnline resources: 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.PPN: PPN: 1700533584Package identifier: Produktsigel: ZDB-13-SOC | ZDB-13-SOC-ebookNo physical items for this record