000			02131nam a22003617a 4500
999			_c5972 _d5972
001			00005972
003			ES-MaONT
005			20210820062956.0
008			200521s2020 d|||f t|||i00| 0 eng d
024			_2doi _a10.1787/5f65ff7e-en
040			_aES-MaONT
100	1		_aBaruffaldi, S _94462
245	1	0	_aIdentifying and measuring developments in artificial intelligence _c/ Stefano Baruffald ... [et al.] _b: Making the impossible possible
260			_aParís : _bOECD Publishing, _c2020
300			_a68 p. : _b: gráf. _c; 1 documento PDF
336			_atexto (visual) _2isbdcontent
337			_aelectrónico _2isbdmedia
338			_arecurso en línea _2rdacarrier
490	1		_aOECD Science, Technology and Industry Working Papers ; _v2020/05
504			_aBibliografía: p. 35-38
520			_aThis 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
650		4	_94348 _aInteligencia Artificial
653			_ascientific publications
653			_aopen source software
653			_apatents
653			_amachine learning
653			_aAI
710			_aOrganización de Cooperación y Desarrollo Económico _92843
710	2		_aMax Planck Institute for Innovation and Competition _94463
830	0		_aOECD Science, Technology and Industry Working Papers _93597
856	4	2	_uhttps://doi.org/10.1787/5f65ff7e-en _x0 _yAcceso al documento _qpdf
942			_2udc _cINF