02794nam a22003617a 4500 5691 5691 00005691 ES-MaONT 20211006062631.0 200228s2020 lu d|||| |||| 00| 0 eng d 978-92-76-16661-0 (online) . doi 10.2760/85212 ES-MaONT AI Watch : TES analysis of AI Worldwide Ecosystem in 2009-2018 / [authors, Sofia Samoili ... et al.] Luxembourg : Publications Office of the European Union, 2020 62 p. : gráf. ; 1 documento PDF texto (visual) isbdcontent electrónico isbdmedia recurso en línea rdacarrier JRC Technical Reports ; 30109 Bibliografía: p. 52-54 This report analyses and compares countries and regions in the evolving international industrial and research landscape of Artificial Intelligence (AI). The evidence presented is based on a unique database covering the years 2009-2018. The database has been specifically built from a multitude of sources to provide scientific evidence and monitor the AI landscape worldwide. Companies, universities, research institutes and governmental authorities with an active role in AI are identified and analysed in an aggregated fashion. The report presents a wide variety of indicators, allowing us to expand our knowledge on issues such as: the size of the AI ecosystem globally and at country level; which are the main global competitors of the EU; what is the level of industrial involvement per country; what are the firms’ demographics, profiling of economic agents according to their strengths in innovation and take-up of AI, including their patenting performance; and the degree of internal and external collaborations between EU and non-EU firms and research institutions. The analysis of the AI activities developed by agents in the studied territories provides interesting insights on their areas of specialisation, highlighting the strengths of the EU and its Member States in the global landscape. Each section offers a focus on EU Member States. For any use or reproduction of photos or other material that is not owned by the EU, permission must be sought directly from the copyright holders European Union Tecnologías habilitadoras digitales 18 artificial intelligence IA database techno-economic Samoili, Sofia 3979 Comisión Europea 999 JRC Technical Reports 2965 https://publications.jrc.ec.europa.eu/repository/bitstream/JRC120106/jrc120106_jrc120106_tes_analysis_ai_worldwide_ecosystem_1.pdf 0 Acceso al documento pdf z INF 0 0 z 0 3 1 01 01 online 2020-02-28 0 1000020175968 2020-02-28 00:00:00 2020-02-28 INF pdf