Ultrafast dynamic machine vision in the optical domain can provide unprecedented
perspectives for high-performance computing. However, owing to the limited degrees of …

Endowed with the superior computing speed and energy efficiency, optical neural networks
(ONNs) have attracted ever-growing attention in recent years. Existing optical computing …

The emergence of parallel convolution-operation technology has substantially powered the
complexity and functionality of optical neural networks (ONN) by harnessing the dimension …

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 …

The rapid development of information technology has fueled an ever-increasing demand for
ultrafast and ultralow-energy-consumption computing. Existing computing instruments are …

Photonic neural networks have significant potential for high-speed neural processing with
low latency and ultralow energy consumption. However, the on-chip implementation of a …

We propose a novel optical computing architecture for massive parallel matrix manipulation
based on reconfigurable time-wavelength plane manipulation and and dispersed time …

Photonic neuromorphic computing is of particular interest due to its significant potential for
ultrahigh computing speed and energy efficiency. The advantage of photonic computing …

Deep neural networks with applications from computer vision to medical diagnosis,,,–are
commonly implemented using clock-based processors,,,,,,,–, in which computation speed is …

Photonic neural networks benefit from the use of photons to perform intelligent inference
computing with ultrafast and ultralow energy consumption in ultra-high-throughput, providing …