Zobrazeno 1 - 10
of 205
pro vyhledávání: '"Binarized Neural Network"'
Publikováno v:
Advanced Electronic Materials, Vol 10, Iss 9, Pp n/a-n/a (2024)
Abstract This study presents a binarized neural network (BNN) comprising quasi‐nonvolatile memory (QNVM) devices that operate in a positive feedback loop mechanism and exhibit an extremely low subthreshold swing (≤ 5 mV dec−1) and a high on/off
Externí odkaz:
https://doaj.org/article/4294adea874242fd8d2f8e6e6ae1767d
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract In this study, a binarized neural network (BNN) of silicon diode arrays achieved vector–matrix multiplication (VMM) between the binarized weights and inputs in these arrays. The diodes that operate in a positive-feedback loop in their p+-n
Externí odkaz:
https://doaj.org/article/83756f46aba04eaaa245de1f3c194208
Autor:
Yuya Fujiwara, Takayuki Kawahara
Publikováno v:
IEEE Access, Vol 12, Pp 150962-150974 (2024)
To build Neural Networks (NNs) on edge devices, Binarized Neural Network (BNN) has been proposed on the software side, while Computing-in-Memory (CiM) architecture has been proposed on the hardware side. For use on CiM architecture-based BNN, Magneti
Externí odkaz:
https://doaj.org/article/9f62b4a18cf14024a7359545cb7cc2f8
Publikováno v:
IEEE Access, Vol 11, Pp 8057-8064 (2023)
As the applications for artificial intelligence are growing rapidly, numerous network compression algorithms have been developed to restrict computing resources such as smartphones, edge, and IoT devices. Knowledge distillation (KD) leverages soft la
Externí odkaz:
https://doaj.org/article/f9e9e24052ce4c27b99dd7a27f6068fe
Akademický článek
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Autor:
Yusaku Shiotsu, Satoshi Sugahara
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 8, Iss 2, Pp 134-144 (2022)
A binarized neural network (BNN) accelerator based on a processing-in-memory (PIM)/ computing-in-memory (CIM) architecture using ultralow-voltage retention static random access memory (ULVR-SRAM) is proposed for the energy minimum-point (EMP) operati
Externí odkaz:
https://doaj.org/article/2196fe31d17d4073a22ecdbce6be4270
Akademický článek
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Publikováno v:
Sensors, Vol 23, Iss 12, p 5701 (2023)
Keyword spotting (KWS) systems are used for human–machine communications in various applications. In many cases, KWS involves a combination of wake-up-word (WUW) recognition for device activation and voice command classification tasks. These tasks
Externí odkaz:
https://doaj.org/article/b41f1f6dcc4447c6a8741acc6b98376d
Publikováno v:
IEEE Access, Vol 9, Pp 8006-8027 (2021)
Recently, semantic segmentation based on deep neural network (DNN) has attracted attention as it exhibits high accuracy, and many studies have been conducted on this. However, DNN-based segmentation studies focused mainly on improving accuracy, thus
Externí odkaz:
https://doaj.org/article/657e54d0da364efc88bc3f780bb64691
Publikováno v:
IEEE Access, Vol 9, Pp 22480-22492 (2021)
Over the years, deep learning algorithms have advanced a lot and any innovation in the algorithms are demonstrated and benchmarked for image classification. Several other field including side-channel analysis (SCA) have recently adopted deep learning
Externí odkaz:
https://doaj.org/article/ea2c7eee830f43839ef8133221919853