Artificial intelligence (AI) is an extensive scientific discipline which enables computer
systems to solve problems by emulating complex biological processes such as learning …

Wavelength-division multiplexing (WDM) has historically enabled the increase in the
capacity of optical systems by progressively populating the existing optical bandwidth of …

A physics‐informed neural network (PINN) that combines deep learning with physics is
studied to solve the nonlinear Schrödinger equation for learning nonlinear dynamics in fiber …

Practical implementation of digital signal processing for mitigation of transmission
impairments in optical communication systems requires reduction of the complexity of the …

Nonlinearity compensation is considered as a key enabler to increase channel transmission
rates in the installed optical communication systems. Recently, data-driven approaches …

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 …

A powerful machine learning detector based on the k-nearest neighbors (KNN) algorithm is
proposed to overcome system impairments. The zero-dispersion link (ZDL), dispersion …

We investigate the application of dynamic deep neural networks for nonlinear equalization
in long haul transmission systems. Through extensive numerical analysis we identify their …

The achievable transmission capacity of conventional optical fibre communication systems
is limited by nonlinear distortions due to the Kerr effect and the difficulty in modulating the …

In this work we detail the strategies adopted in the European research project IDEALIST to
overcome the predicted data plane capacity crunch in optical networks. In order for core and …