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Paper Abstract and Keywords
Presentation 2018-03-08 14:50
Neuromorphic Systems using Thin-Film Devices
Mutsumi Kimura (Ryukoku Univ.), Hiroki Yamane, Yasuhiko Nakashima (NAIST) EMD2017-74 MR2017-45 SCE2017-45 EID2017-47 ED2017-119 CPM2017-139 SDM2017-119 ICD2017-124 OME2017-68 Link to ES Tech. Rep. Archives: EMD2017-74 MR2017-45 SCE2017-45 EID2017-47 ED2017-119 CPM2017-139 SDM2017-119 ICD2017-124 OME2017-68
Abstract (in Japanese) (See Japanese page) 
(in English) Artificial intelligences are utilized for various applications and indispensable technologies in future societies. However, they are realized as complicated software executed on high-spec hardware, and it is issues that the size is bulky and the power is huge. Neuromorphic systems mimic biological systems from hardware level, and it is expected that the size is compact, the power is little, and the working is robust. On the other hand, thin-film devices can be fabricated on large area with layered structure. We are investigating neuromorphic systems using thin-film devices. In this study, we have succeeded in confirming the basic working of the neuromorphic systems using thin-film devices. These systems are scalable and adoptive, and have possibilities to realize the same functions as those of the conventional artificial intelligences by scaling and layering. In addition, they also have potentials to avoid energy crisis by the low power and realize AI on Everything (AIoE) by the compact size. It is expected that hybrid-type artificial intelligences are installed in autonomous-type robots, which prepare not only the conventional artificial intelligence working with connections to servers and networks but also neuromorphic systems working without them.
Keyword (in Japanese) (See Japanese page) 
(in English) Thin-Film Device / Neuromorphic System / Artificial Intelligence / AI on Everything(AIoE) / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 495, EID2017-47, pp. 11-14, March 2018.
Paper # EID2017-47 
Date of Issue 2018-03-01 (EMD, MR, SCE, EID, ED, CPM, SDM, ICD, OME) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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Download PDF EMD2017-74 MR2017-45 SCE2017-45 EID2017-47 ED2017-119 CPM2017-139 SDM2017-119 ICD2017-124 OME2017-68 Link to ES Tech. Rep. Archives: EMD2017-74 MR2017-45 SCE2017-45 EID2017-47 ED2017-119 CPM2017-139 SDM2017-119 ICD2017-124 OME2017-68

Conference Information
Committee CPM ED EID SDM ICD MRIS QIT SCE 
Conference Date 2018-03-08 - 2018-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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Paper Information
Registration To EID 
Conference Code 2018-03-CPM-ED-EID-SDM-ICD-MRIS-QIT-SCE-OME-EMD 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Neuromorphic Systems using Thin-Film Devices 
Sub Title (in English)  
Keyword(1) Thin-Film Device  
Keyword(2) Neuromorphic System  
Keyword(3) Artificial Intelligence  
Keyword(4) AI on Everything(AIoE)  
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1st Author's Name Mutsumi Kimura  
1st Author's Affiliation Ryukoku University (Ryukoku Univ.)
2nd Author's Name Hiroki Yamane  
2nd Author's Affiliation Nara Institute of Science and Technology (NAIST)
3rd Author's Name Yasuhiko Nakashima  
3rd Author's Affiliation Nara Institute of Science and Technology (NAIST)
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Speaker Author-1 
Date Time 2018-03-08 14:50:00 
Presentation Time 25 minutes 
Registration for EID 
Paper # EMD2017-74, MR2017-45, SCE2017-45, EID2017-47, ED2017-119, CPM2017-139, SDM2017-119, ICD2017-124, OME2017-68 
Volume (vol) vol.117 
Number (no) no.492(EMD), no.493(MR), no.494(SCE), no.495(EID), no.496(ED), no.497(CPM), no.498(SDM), no.499(ICD), no.500(OME) 
Page pp.11-14 
#Pages
Date of Issue 2018-03-01 (EMD, MR, SCE, EID, ED, CPM, SDM, ICD, OME) 


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