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physics.optics2026
Programmable electro-optic frequency comb empowers integrated parallel convolution processing
Jinze He, Junzhe Qiang, Yiying Dong +11
Integrated photonic convolution processors make optical neural networks (ONNs) a transformative solution for artificial intelligence applications such as machine vision. To enhance…
physics.optics2025
Scalable multilayer diffractive neural network with all-optical nonlinear activation
Yiying Dong, Bohan Zhang, Ruiqi Liang +7
All-optical diffractive neural networks (DNNs) offer a promising alternative to electronics-based neural network processing due to their low latency, high throughput, and inherent…
physics.optics2024
Metasurface-generated large and arbitrary analog convolution kernels for accelerated machine vision
Ruiqi Liang, Shuai Wang, Yiying Dong +4
In the rapidly evolving field of artificial intelligence, convolutional neural networks are essential for tackling complex challenges such as machine vision and medical diagnosis.…