Siying Wu
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Optical metasurfaces for general vision processing on the edge
Abstract Large-scale artificial intelligence (AI) models achieve notable performance in computer vision but require substantial computational resources, limiting their deployment on edge devices1,2. Optical neural networks (ONNs) promise reduced latency and energy consumption by making use of the inherent parallelism of light3.
Making Supercapacitors Higher in Energy Density: Wisdoms on Electrolytes and Device Architecture
SiyingWu, LicaiJin, XiaoweiKang, YuxinYang, Wei-ShiLi, Fu-GangZhao, The Chemical Record2026, 0, e70126. https://doi.org/10.1002/tcr.70126 Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.
A nomogram for predicting short-term parenteral nutrition-associated liver disease in hospitalized adults: A population-based analysis
Ayuda Buscar en la ayuda Buscar en la ayuda A nomogram for predicting short-term parenteral nutrition-associated liver disease in hospitalized adults: A population-based analysis Shiying Wu [1] ; Gang Peng [1] ; Xiaolan Zhong [1] ; Dapeng Yan [1] ; Meina Chen [1] ; Zehua Huang [1] ; Jiyun Chen [1] [1] Department of Pharmacology. Zhongshan Hospital. Fudan University. Xiamen, Fujian.
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