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 | Free Full-Text | AI-Enabled Intelligent Visible Light Communications: Challenges,
Progress, and Future Next Article in Journal Performance Enhancement of DWDM Optical Fiber …

We present the results of the comparative performance-versus-complexity analysis for the
several types of artificial neural networks (NNs) used for nonlinear channel equalization in …

Due to the capability of the physics-informed neural network (PINN) to solve complex partial
differential equations automatically, it has revolutionized the field of scientific computing …

The performance limitations of traditional computer architectures have led to the rise of brain‐
inspired hardware, with optical solutions gaining popularity due to the energy efficiency …

In this work, we address the question of the adaptability of artificial neural networks (NNs)
used for impairments mitigation in optical transmission systems. We demonstrate that by …

For any system that follows rigorous mathematical and physical theories like fiber-optic
system, system parameter estimation is crucial for system detection and monitoring. In this …

Many problems in science and engineering can be represented by a set of partial differential
equations (PDEs) through mathematical modeling. Mechanism-based computation following …

Techniques from artificial intelligence have been widely applied in optical communication
and networks, evolving from early machine learning (ML) to the recent deep learning (DL) …

This paper introduces a novel methodology for developing low-complexity neural network
(NN) based equalizers to address impairments in high-speed coherent optical transmission …