This special issue covers works that lie at the interface between machine learning,
spearheaded by the computing power of artificial neural networks (NN), and photonic …

This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …

Photonics offers exciting opportunities for neuromorphic computing. This paper specifically
reviews the prospects of integrated optical solutions for accelerating inference and training …

We motivate a canonical strategy for integrating photonic neural networks (NN) by
leveraging 3D printing. Our belief is that a NN's parallel and dense connectivity is not …

Since the invention of the laser, it has been known that light can carry information. Light
beams can be mixed and processed at speeds that far exceed those of electronics, an …

The wide utility provided by the computational algorithms known as “deep learning”(or
artificial neural networks) has prompted the development of specialized (electronic) …

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 …

Neural networks have enabled applications in artificial intelligence through machine
learning, and neuromorphic computing. Software implementations of neural networks on …

Optical neural network (ONN) is a promising platform for implementing deep learning tasks
thanks to the critical features of light, such as high parallelism, low latency, and low power …

Recently, integrated optics has gained interest as a hardware platform for implementing
machine learning algorithms. Of particular interest are artificial neural networks, since matrix …