Reservoir computing is a computational framework suited for temporal/sequential data
processing. It is derived from several recurrent neural network models, including echo state …

We review a novel paradigm that has emerged in analogue neuromorphic optical
computing. The goal is to implement a reservoir computer in optics, where information is …

This paper reviews some recent progress in the field of neuromorphic photonics, with a
particular focus on scalability. We provide a framework for understanding the underlying …

This book sets out to build bridges between the domains of photonic device physics and
neural networks, providing a comprehensive overview of the emerging field of" …

The rapid development of artificial intelligence (AI) facilitates various applications from all
areas but also poses great challenges in its hardware implementation in terms of speed and …

Photonic delay systems have revolutionized the hardware implementation of Recurrent
Neural Networks and Reservoir Computing in particular. The fundamental principles of …

Deep learning has led to unprecedented successes in solving some very difficult problems
in domains such as computer vision, natural language processing, and general pattern …

Photonic implementations of reservoir computing (RC) have been receiving considerable
attention due to their excellent performance, hardware, and energy efficiency as well as their …

We numerically investigate reservoir computing based on the consistency of a
semiconductor laser subjected to optical feedback and injection. We introduce a chaos mask …

Abstract Machine learning techniques have proven very efficient in assorted classification
tasks. Nevertheless, processing time-dependent high-speed signals can turn into an …