A Low-Power Analog Processor-in-Memory-Based Convolutional Neural Network for Biosensor Applications

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,...

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Detalles Bibliográficos
Autores principales: Byun, Sung-June, Kim, Dong-Gyun, Park, Kyung-Do, Choi, Yeun-Jin, Kumar, Pervesh, Ali, Imran, Kim, Dong-Gyu, Yoo, June-Mo, Huh, Hyung-Ki, Jung, Yeon-Jae, Kim, Seok-Kee, Pu, Young-Gun, Lee, Kang-Yoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229394/
https://www.ncbi.nlm.nih.gov/pubmed/35746337
http://dx.doi.org/10.3390/s22124555

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229394/
https://www.ncbi.nlm.nih.gov/pubmed/35746337
http://dx.doi.org/10.3390/s22124555

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