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 …

The strong stochastic nonlinear impairment induced by random mode coupling appears to
be a long-standing performance-limiting problem in the orbital angular momentum (OAM) …

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

Photonic reservoir computing (PRC) is a special hardware recurrent neural network, which
is featured with fast training speed and low training cost. This work shows a wavelength …

Proteins interact with many molecules in order to maintain the vital activities in cells. Proteins
that interact with DNA are called DNA-binding proteins (DBP), and proteins that interact with …

Effective and adaptive interference management is required in next generation wireless
communication systems. To address this challenge, Rate-Splitting Multiple Access (RSMA) …

Photonic reservoirs are machine learning based systems that boast energy efficiency and
speediness. Thus they can be deployed as optical processors in fiber communication …

The transition to the edge-cloud era makes ultra-high data rate signals indispensable for
covering the immense and increasing traffic demands created. This ecosystem also seeks …

In this paper, we propose a solution to resolve the limitation of deep CNN models in real-
time applications. The proposed approach uses multi-threshold binarization over the whole …

Knowledge Distillation Applied to Optical Channel Equalization: Solving the Parallelization
Problem of Recurrent Connection Page 1 Knowledge Distillation Applied to Optical Channel …