A Low-Power Analog Processor-in-Memory-Based Convolutional Neural Network for Biosensor Applications
A Low-Power Analog Processor-in-Memory-Based Convolutional Neural Network for Biosensor Applications
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Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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This paper presents an on-chip implementation of an analog processor-in-memory (PIM)-based convolutional neural network (CNN) in a biosensor. The operator was designed with low power to implement CNN as an on-chip device on the biosensor, which consists of plates of 32 × 32 material. In this paper, 10T SRAM-based analog PIM, which performs multiple...
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A Low-Power Analog Processor-in-Memory-Based Convolutional Neural Network for Biosensor Applications
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TN_cdi_doaj_primary_oai_doaj_org_article_30a8b1345a7649f2a0de37bb0617bae1
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_30a8b1345a7649f2a0de37bb0617bae1
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s22124555
