Results 1 to 10 of about 120,659,427 (243)

Low Power Optoelectronic Neuromorphic Memristor for In‐Sensor Computing and Multilevel Hardware Security Communications [PDF]

Advanced Science
Conventional software‐based encryption faces mounting limitations in power efficiency and security, inspiring the development of emerging neuromorphic computing hardware encryption.
Bo Sun, Jinhao Zhang, Jialin Meng, Tianyu Wang   +3 more
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Multimodal In‐Sensor Computing System Using Integrated Silicon Photonic Convolutional Processor [PDF]

Advanced Science
Photonic integrated circuits offer miniaturized solutions for multimodal spectroscopic sensory systems by leveraging the simultaneous interaction of light with temperature, chemicals, and biomolecules, among others.
Zian Xiao, Zhihao Ren, Yangyang Zhuge, Zixuan Zhang, Jingkai Zhou, Siyu Xu, Cheng Xu, Bowei Dong, Chengkuo Lee   +8 more
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Coupled Ferroelectric‐Photonic Memory in a Retinomorphic Hardware for In‐Sensor Computing [PDF]

Advanced Science
The development of all‐in‐one devices for artificial visual systems offers an attractive solution in terms of energy efficiency and real‐time processing speed.
Ngoc Thanh Duong, Yufei Shi, Sifan Li, Yu‐Chieh Chien, Heng Xiang, Haofei Zheng, Peiyang Li, Lingqi Li, Yangwu Wu, Kah‐Wee Ang   +9 more
doaj   +2 more sources

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
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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
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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
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Retinomorphic hardware for in‐sensor computing

InfoMat, 2023
Rapid developments in the Internet of Things and Artificial Intelligence trigger higher requirements for image perception and learning of external environments through visual systems.
Guangdi Feng, Xiaoxu Zhang, Bobo Tian, Chungang Duan   +3 more
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Next‐generation machine vision systems incorporating two‐dimensional materials: Progress and perspectives

InfoMat, 2022
Machine vision systems (MVSs) are an important component of intelligent systems, such as autonomous vehicles and robots. However, with the continuous increase in data and new application scenarios, new requirements are put forward for the next generation
Peisong Wu, Ting He, He Zhu, Yang Wang, Qing Li, Zhen Wang, Xiao Fu, Fang Wang, Peng Wang, Chongxin Shan, Zhiyong Fan, Lei Liao, Peng Zhou, Weida Hu   +13 more
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In-Sensor Visual Perception and Inference

Intelligent Computing, 2023
Conventional machine vision systems have separate perception, memory, and processing architectures, which may exacerbate the increasing need for ultrahigh image processing rates and ultralow power consumption.
Yanan Liu, Rui Fan, Jianglong Guo, Hepeng Ni, Muhammad Usman Maqboo Bhutta   +4 more
doaj   +1 more source