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A Many-core Architecture for an Ensemble Ternary Neural Network Toward High-Throughput Inference.

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Title: A Many-core Architecture for an Ensemble Ternary Neural Network Toward High-Throughput Inference.
Authors: RYOTA KAYANOMA1, kayanoma.ryota.p6@dc.tohoku.ac.jp, AKIRA JINGUJI2, HIROKI NAKAHARA1
Source: Journal of Multiple-Valued Logic & Soft Computing; 2025, Vol. 45 Issue 1-3, p53-72, 20p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 186002088
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A Many-core Architecture for an Ensemble Ternary Neural Network Toward High-Throughput Inference.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186002088
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
        StartPage: 53
    Titles:
      – TitleFull: A Many-core Architecture for an Ensemble Ternary Neural Network Toward High-Throughput Inference.
        Type: main
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            NameFull: RYOTA KAYANOMA
      – PersonEntity:
          Name:
            NameFull: AKIRA JINGUJI
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            NameFull: HIROKI NAKAHARA
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          Dates:
            – D: 01
              M: 06
              Text: 2025
              Type: published
              Y: 2025
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              Value: 45
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            – TitleFull: Journal of Multiple-Valued Logic & Soft Computing
              Type: main
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