The simultaneous advances in artificial neural networks and photonic integration
technologies have spurred extensive research in optical computing and optical neural …

Photonic computing enables faster and more energy-efficient processing of vision data,,,–.
However, experimental superiority of deployable systems remains a challenge because of …

Optical imaging is commonly used for both scientific and technological applications across
industry and academia. In image sensing, a measurement, such as of an object's position or …

Rapid developments in machine vision technology have impacted a variety of applications,
such as medical devices and autonomous driving systems. These achievements, however …

Optical neural networks (ONNs), or optical neuromorphic hardware accelerators, have the
potential to dramatically enhance the computing power and energy efficiency of mainstream …

The safe human-level decision-making for expressing the autonomous vehicles and the
estimation of the eco vehicles has been proposed for the motion control for the driving …

As a leading branch of deep learning, the convolutional neural network (CNN) is inspired by
the natural visual perceptron mechanism of living things, showing great application in image …

In Human–Machine interaction, the possibility of increasing the intelligence and adaptability
of the controlled plant by imitating human control behavior has been an objective of many …

High-speed image processing is essential for many real-time applications. On-chip photonic
neural network processors have the potential to speed up image processing, but their …

摘要光学神经网络是区别于冯· 诺依曼计算架构的一种高性能新型计算范式, 具有低延时,
低功耗, 大带宽以及并行信号处理等优势. 片上集成是光学神经网络微型化发展的一种典型方式 …