Results 1 to 10 of about 65,576 (153)

Visualized in-sensor computing [PDF]

Nature Communications
In artificial nervous systems, conductivity changes indicate synaptic weight updates, but they provide limited information compared to living organisms.
Yao Ni, Jiaqi Liu, Hong Han, Qianbo Yu, Lu Yang, Zhipeng Xu, Chengpeng Jiang, Lu Liu, Wentao Xu   +8 more
doaj   +4 more sources

Photon-efficient camera with in-sensor computing [PDF]

Nature Communications
Image sensors with internal computing capabilities fuse sensing and computing to significantly reduce the power consumption and latency of machine vision tasks.
Yanqiu Guan, Haochen Li, Yi Zhang, Yuchen Qiu, Labao Zhang, Xiangyang Ji, Hao Wang, Qi Chen, Liang Ma, Xiaohan Wang, Zhuolin Yang, Xuecou Tu, Qingyuan Zhao, Xiaoqing Jia, Jian Chen, Lin Kang, Peiheng Wu   +16 more
doaj   +4 more sources

Perovskite-Based Memristor with 50-Fold Switchable Photosensitivity for In-Sensor Computing Neural Network [PDF]

Nanomaterials, 2022
In-sensor computing can simultaneously output image information and recognition results through in-situ visual signal processing, which can greatly improve the efficiency of machine vision.
Qilai Chen, Tingting Han, Jianmin Zeng, Zhilong He, Yulin Liu, Jinglin Sun, Minghua Tang, Zhang Zhang, Pingqi Gao, Gang Liu   +9 more
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In‐Sensor Reservoir Computing Based on Optoelectronic Synapse

Advanced Intelligent Systems, 2023
Conventional machine vision systems suffer from great data latency and energy consumption in cognitive tasks due to the separated vision sensors, memory units, and processors.
Yi Sun, Qingjiang Li, Xi Zhu, Cen Liao, Yongzhou Wang, Zhiwei Li, Sen Liu, Hui Xu, Wei Wang   +8 more
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Optoelectronic Devices for In-Sensor Computing. [PDF]

Adv Mater
Abstract The demand for accurate perception of the physical world leads to a dramatic increase in sensory nodes. However, the transmission of massive and unstructured sensory data from sensors to computing units poses great challenges in terms of power‐efficiency, transmission bandwidth, data storage, time latency, and security.
Ren Q, Zhu C, Ma S, Wang Z, Yan J, Wan T, Yan W, Chai Y.   +7 more
europepmc   +3 more sources

Nonvolatile Memristive Materials and Physical Modeling for In‐Memory and In‐Sensor Computing [PDF]

Small Science
Separate memory and processing units are utilized in conventional von Neumann computational architectures. However, regarding the energy and the time, it is costly to shuffle data between the memory and the processing entity, and for data‐intensive ...
Shao-Xiang Go, Kian-Guan Lim, Tae-Hoon Lee, Desmond K. Loke   +3 more
doaj   +2 more sources

The Impacts of Attitudes and Engagement on Electronic Word of Mouth (eWOM) of Mobile Sensor Computing Applications [PDF]

Sensors, 2016
As one of the latest revolutions in networking technology, social networks allow users to keep connected and exchange information. Driven by the rapid wireless technology development and diffusion of mobile devices, social networks experienced a ...
Yu Zhao, Yide Liu, Ivan K. W. Lai, Hongfeng Zhang, Yi Zhang   +4 more
doaj   +2 more sources

Polarization-sensitive in-sensor computing in chiral organic integrated 2D p-n heterostructures for mixed-multimodal image processing [PDF]

Nature Communications
Sensor-based computing minimizes latency and energy consumption by processing data at the capture point, thereby eliminating extensive data transfer and enabling real-time decision-making.
Je-Jun Lee, Seong-Jun Han, Changsoon Choi, Chaewon Seo, Seungkwon Hwang, Jihyun Kim, Jung Pyo Hong, Jisu Jang, Jihoon Kyhm, Jung Woo Kim, Byoung-Soo Yu, Jung Ah Lim, Gunuk Wang, Joohoon Kang, Yonghun Kim, Suk-kyun Ahn, Jongtae Ahn, Do Kyung Hwang   +17 more
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Optoelectronic array of photodiodes integrated with RRAMs for energy-efficient in-sensor computing [PDF]

Light: Science & Applications
The rapid development of internet of things (IoT) urgently needs edge miniaturized computing devices with high efficiency and low-power consumption. In-sensor computing has emerged as a promising technology to enable in-situ data processing within the ...
Wen Pan, Lai Wang, Jianshi Tang, Heyi Huang, Zhibiao Hao, Changzheng Sun, Bing Xiong, Jian Wang, Yanjun Han, Hongtao Li, Lin Gan, Yi Luo   +11 more
doaj   +2 more sources

Capacitive in-sensor tactile computing

Nature Communications
Real-time sensing and processing of tactile information are essential to enhance the capability of artificial electronic skins (e-skins), enabling unprecedented intelligent applications in tactile exploration and object manipulation.
Yan Chen, Jie Cao, Jie Qiu, Dongzi Yang, Mengyang Liu, Mengru Zhang, Chenyang Li, Zhongyuan Wu, Jie Yu, Xumeng Zhang, Xianzhe Chen, Zhangcheng Huang, Enming Song, Ming Wang, Qi Liu, Ming Liu   +15 more
doaj   +3 more sources