Identifying and measuring developments in artificial intelligence : Making the impossible possible / Stefano Baruffald ... [et al.]
.-- París : OECD Publishing, 2020
.-- 68 p. : : gráf. ; 1 documento PDF
.-- (OECD Science, Technology and Industry Working Papers ;2020/05 ).
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
10.1787/5f65ff7e-en doi
Inteligencia Artificial
scientific publications open source software patents machine learning AI
Organización de Cooperación y Desarrollo Económico Max Planck Institute for Innovation and Competition
OECD Science, Technology and Industry Working Papers