A High-Resistance SOT Device Based Computing-in-Memory Macro With High Sensing Margin and Multi-Bit MAC Operations for AI Edge Inference Article Swipe

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Junzhan Liu , J.-X. Mi , Yang Liu , Liang Zhang , He Zhang , Wang Kang ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.23919/ics.2025.3567939

Related Topics

Macro (Computer Science)

Computer Science

Enhanced Data Rates For Gsm Evolution

Edge Computing

Computer Hardware

Parallel Computing

Artificial Intelligence

Machine Learning

Programming Language

Concepts

Macro Margin (machine learning) Inference Bit (key) Computer science Enhanced Data Rates for GSM Evolution Edge computing Computer hardware Parallel computing Artificial intelligence Computer network Machine learning Programming language

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Type: article
Language: en
Landing Page: https://doi.org/10.23919/ics.2025.3567939
OA Status: hybrid
References: 42
Related Works: 10
OpenAlex ID: https://openalex.org/W4410153351

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OpenAlex ID: https://openalex.org/W4410153351

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DOI: https://doi.org/10.23919/ics.2025.3567939

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Title: A High-Resistance SOT Device Based Computing-in-Memory Macro With High Sensing Margin and Multi-Bit MAC Operations for AI Edge Inference

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Type: article

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Language: en

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Publication year: 2025

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Publication date: 2025-05-07

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Authors: Junzhan Liu, J.-X. Mi, Yang Liu, Liang Zhang, He Zhang, Wang Kang

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Landing page: https://doi.org/10.23919/ics.2025.3567939

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Open access: Yes

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OA status: hybrid

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OA URL: https://doi.org/10.23919/ics.2025.3567939

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Concepts: Macro, Margin (machine learning), Inference, Bit (key), Computer science, Enhanced Data Rates for GSM Evolution, Edge computing, Computer hardware, Parallel computing, Artificial intelligence, Computer network, Machine learning, Programming language

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Cited by: 0

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References (count): 42

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Related works (count): 10

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