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Titlebook: Near-sensor and In-sensor Computing; Yang Chai,Fuyou Liao Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive licen

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发表于 2025-3-21 18:06:00 | 显示全部楼层 |阅读模式
书目名称Near-sensor and In-sensor Computing
编辑Yang Chai,Fuyou Liao
视频video
概述Provides readers with a detailed introduction to the near-sensor and in-sensor computing paradigms.Includes in-depth and comprehensive summaries of the state-of-the-art development in this field.Discu
图书封面Titlebook: Near-sensor and In-sensor Computing;  Yang Chai,Fuyou Liao Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive licen
描述.This book provides a detailed introduction to near-sensor and in-sensor computing paradigms, their working mechanisms, development trends and future directions.  The authors also provide a comprehensive review of current progress in this area, analyze existing challenges in the field, and offer possible solutions.  Readers will benefit from the discussion of computing approaches that intervene in the vicinity of or inside sensory networks to help process data more efficiently, decreasing power consumption and reducing the transfer of redundant data between sensing and processing units..Provides readers with a detailed introduction to the near-sensor and in-sensor computing paradigms;.Includes in-depth and comprehensive summaries of the state-of-the-art development in this field;.Discusses and compares various neuromorphic sensors and neural networks:.Describes integration technology for near-/in-sensor computing;.Reveals the relationship between near-/in-sensor computing and other computing paradigms, such as neuromorphic computing, edge computing, intuitive computing, and in-memory computing..
出版日期Book 2022
关键词Neuromorphic Computing; In-Memory Computing; edge computing; Neuromorphic Hardware; Reconfigurable neura
版次1
doihttps://doi.org/10.1007/978-3-031-11506-6
isbn_softcover978-3-031-11508-0
isbn_ebook978-3-031-11506-6
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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978-3-031-11508-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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https://doi.org/10.1007/978-3-031-11506-6Neuromorphic Computing; In-Memory Computing; edge computing; Neuromorphic Hardware; Reconfigurable neura
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Bioinspired In-Sensor Computing Devices for Visual Adaptation, perception systems. Optoelectronic devices and systems with photo-sensing and self-adaptation functions can mimic complex biological visual adaptation behaviors. In this chapter, we overview recent progress on emerging devices for in-sensor visual adaptation. First, the phenomenon and mechanism of
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Neuromorphic Vision Chip,ocessor, and a memory device, which shows advantages in imaging and in situ intelligent processing for edge applications with high accuracy, high speed, and low power consumption. On the basis of the dataflow within a chip, vision chips can be classified into two categories: frame-driven vision chip
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