{"created":"2023-05-15T11:34:46.219685+00:00","id":1125,"links":{},"metadata":{"_buckets":{"deposit":"efda0910-f3e1-401b-8842-c52fcdf985eb"},"_deposit":{"created_by":4,"id":"1125","owners":[4],"pid":{"revision_id":0,"type":"depid","value":"1125"},"status":"published"},"_oai":{"id":"oai:cur-ren.repo.nii.ac.jp:00001125","sets":["2:5:102"]},"author_link":["7899","7900"],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2020-06-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"19","bibliographicPageEnd":"61","bibliographicPageStart":"53","bibliographic_titles":[{"bibliographic_title":"中国学園紀要"},{"bibliographic_title":"Journal of Chugokugakuen","bibliographic_titleLang":"en"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"　本稿は，AI（人工知能）半導体をめぐる企業間のグローバル競争がどのように展開されているのかを課題とし，現在，AI半導体市場で熾烈に競争しているエヌビディアとインテルに焦点を当て，AI半導体戦略の技術的特性と自動車産業の自動運転における相違を明らかにした。エヌビディアの場合，画像処理半導体のGPUで半導体市場を先導し，自動運転では自動車メーカーとの緊密な提携や協力関係を結び，自社の半導体，ソフトウェアをオープンソースで提供し，今日に至っている。他方，半導体産業の王者であるインテルはエヌビディアより遅れてAI半導体市場に参入している。インテルの自動運転における戦略は，AI半導体分野の企業4社を次々と攻撃的に買収したことである。買収された企業は，FPGA，深層学習，画像認識技術に強みを持っている。さらにインテルは自動車メーカーとも提携を結びつつ，買収したモビールアイ社の自動車の取引相手を傘下に吸収しながら，AI半導体で世界首位を狙う戦略を構築している。","subitem_description_type":"Abstract"}]},"item_10002_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.24770/00001116","subitem_identifier_reg_type":"JaLC"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"中国学園大学/中国短期大学"}]},"item_10002_relation_16":{"attribute_name":"情報源","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"梅田弘之『AIのキホン』インプレス，2019年"}]},{"subitem_relation_name":[{"subitem_relation_name_text":"『Nikkei Automotive』日経BP社，2018年１月，2019年４月"}]},{"subitem_relation_name":[{"subitem_relation_name_text":"「謎のAI半導体メーカーの実像」『日経ビジネス』2017年７月17日"}]},{"subitem_relation_name":[{"subitem_relation_name_text":"「脳に学ぶAIチップ神経細胞から大局構造まで」『日経エレクトロニクス』日経BP社，2017年２月"}]},{"subitem_relation_name":[{"subitem_relation_name_text":"「IntelがMobileye買収自動運転開発は３勢力に」『日経エレクトロニクス』日経BP社，2017年５月"}]},{"subitem_relation_name":[{"subitem_relation_name_text":"「人工知能の真実」『日経コンピュータ』日経BP社，2016年４月28日"}]},{"subitem_relation_name":[{"subitem_relation_name_text":"電子情報技術産業協会編『ICガイドブック』2012年"}]},{"subitem_relation_name":[{"subitem_relation_name_text":"『日本経済新聞』2017年６月６日，2018年５月25日"}]},{"subitem_relation_name":[{"subitem_relation_name_text":"「AI半導体市場，クラウド・エッジ市場相互補完的関係に進化」『電子技術』2019年２月［韓国語文献］"}]},{"subitem_relation_name":[{"subitem_relation_name_text":"黄テホ「Neuromorphicコンピューティング技術」『電子工学会誌』2018年１月［韓国語文献］"}]},{"subitem_relation_name":[{"subitem_relation_name_text":"チェギウォン「人工知能半導体NM500」『電子工学会誌』2018年１月［韓国語文献］"}]},{"subitem_relation_name":[{"subitem_relation_name_text":"キムヨンキュン「半導体産業の次世代エンジン，AI半導体動向と示唆点」『ICT SPOT ISSUE』情報通信技術センター，2018年１月［韓国語文献］"}]},{"subitem_relation_name":[{"subitem_relation_name_text":"リジェヨン「アメリカ人工知能（AI）時代半導体市場の変化」『科学と技術政策』科学技術政策研究院，2017年３月号［韓国語文献］"}]},{"subitem_relation_name":[{"subitem_relation_name_text":"パクセフン他共著「マシンラーニング加速器研究動向」『電子工学会誌』2018年１月［韓国語文献］"}]}]},"item_10002_rights_15":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"中国学園大学/中国短期大学"}]},"item_10002_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11806598","subitem_source_identifier_type":"NCID"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1347-9350","subitem_source_identifier_type":"ISSN"}]},"item_10002_subject_21":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"549","subitem_subject_scheme":"NDC"}]},"item_10002_text_24":{"attribute_name":"出版者（英）","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"Chugokugakuen University / Chugoku 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