バッファロー問い合わせ番号

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Skip to Content Japanese English Chinese About RIETI Site Map Help Contact Discussion Papers Search Site Search Menu Research Areas Research Programs (FY2024-2028) Research Programs (FY2020-2023) Research Programs (FY2016-2019) Research Programs (FY2011-2015) Policy Research Domains (FY2006-2010) Projects Survey Fellows According to Title Alphabetical order RIETI Alumni Research/Policy Papers Discussion Papers (English) Discussion Papers (Japanese) Policy Discussion Papers (English) Policy Discussion Papers (Japanese) Technical Papers (English) Technical Papers (Japanese) Non Technical Summaries List of Articles in Journals Research Digest Discussion Papers Search Publications RIETI Books (English) RIETI Books (Japanese) History of Japan's Trade and Industry Policy Authors' Words Other Publications (English) Other Publications (Japanese) Events Symposiums Workshops BBL Seminars Archived Seminar Series Data JIP Database R-JIP Database CIP Database Industry-Specific Nominal and Real Effective Exchange Rates AMU and AMU Deviation Indicators JSTAR RIETI-TID RIETI FDI Database ICPA Project Links Articles Column Special Series Newspapers & Magazines Fellows' Works VoxEU Column From IZA Perspectives from Around the World Other Contents RIETI Report Policy Update Keizai Sangyo Journal (METI Journal) Research Areas Fellows Research/Policy Papers Publications Events Data Articles Site Map Technical Issues Coontact Discussion Papers Search Close HomeResearch/Policy PapersPolicy Discussion Papers (English) Understanding AI Driven Innovation by Linked Database of Scientific Articles and Patents Print Author Name MOTOHASHI Kazuyuki (Faculty Fellow, RIETI)      Creation Date/NO. November 2018 18-P-017 Research Project Empirical Analysis of Innovation Ecosystems in Advancement of the Internet of Things (IoT) Download / Links Download paper [PDF:641KB]      Abstract The linked dataset of AI research articles and patents reveals that substantial contributions by the public sector are found in AI development. In addition, the role of researchers who are involved both in publication and patent activities, particularly in the private sector, increased over time. That is, open science that is publicly available in research articles, and propriety technology that is protected by patents, are intertwined in AI development. In addition, the impact of AI, combined with big data and IoT, which are defined as "new" IT innovations, is discussed by comparing it with traditional IT, which only consists of the technological progress of computer hardware and software developments. Both new and traditional IT can be understood by using the framework of GPT (general purpose technology), while the organization of new IT innovation can be characterized as an emergence of multiple ecosystems, instead of being organized in the pattern of platform leadership, found in traditional IT. 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