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_c5972 _d5972 |
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001 | 00005972 | ||
003 | ES-MaONT | ||
005 | 20210820062956.0 | ||
008 | 200521s2020 d|||f t|||i00| 0 eng d | ||
024 |
_2doi _a10.1787/5f65ff7e-en |
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040 | _aES-MaONT | ||
100 | 1 |
_aBaruffaldi, S _94462 |
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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 |
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300 |
_a68 p. : _b: gráf. _c; 1 documento PDF |
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336 |
_atexto (visual) _2isbdcontent |
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337 |
_aelectrónico _2isbdmedia |
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338 |
_arecurso en línea _2rdacarrier |
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490 | 1 |
_aOECD Science, Technology and Industry Working Papers ; _v2020/05 |
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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 |
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653 | _ascientific publications | ||
653 | _aopen source software | ||
653 | _apatents | ||
653 | _amachine learning | ||
653 | _aAI | ||
710 |
_aOrganización de Cooperación y Desarrollo Económico _92843 |
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710 | 2 |
_aMax Planck Institute for Innovation and Competition _94463 |
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830 | 0 |
_aOECD Science, Technology and Industry Working Papers _93597 |
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856 | 4 | 2 |
_uhttps://doi.org/10.1787/5f65ff7e-en _x0 _yAcceso al documento _qpdf |
942 |
_2udc _cINF |