[HTML][HTML] Recent advances in physical reservoir computing: A review
Reservoir computing is a computational framework suited for temporal/sequential data
processing. It is derived from several recurrent neural network models, including echo state …
processing. It is derived from several recurrent neural network models, including echo state …
Advances in photonic reservoir computing
G Van der Sande, D Brunner, MC Soriano - Nanophotonics, 2017 - degruyter.com
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 …
computing. The goal is to implement a reservoir computer in optics, where information is …
Neuromorphic photonic integrated circuits
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 …
particular focus on scalability. We provide a framework for understanding the underlying …
[图书][B] Neuromorphic photonics
PR Prucnal, BJ Shastri - 2017 - taylorfrancis.com
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" …
neural networks, providing a comprehensive overview of the emerging field of" …
[HTML][HTML] Analog optical computing for artificial intelligence
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 …
areas but also poses great challenges in its hardware implementation in terms of speed and …
Tutorial: Photonic neural networks in delay systems
Photonic delay systems have revolutionized the hardware implementation of Recurrent
Neural Networks and Reservoir Computing in particular. The fundamental principles of …
Neural Networks and Reservoir Computing in particular. The fundamental principles of …
A survey on silicon photonics for deep learning
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 …
in domains such as computer vision, natural language processing, and general pattern …
Conditions for reservoir computing performance using semiconductor lasers with delayed optical feedback
Photonic implementations of reservoir computing (RC) have been receiving considerable
attention due to their excellent performance, hardware, and energy efficiency as well as their …
attention due to their excellent performance, hardware, and energy efficiency as well as their …
Laser dynamical reservoir computing with consistency: an approach of a chaos mask signal
J Nakayama, K Kanno, A Uchida - Optics express, 2016 - opg.optica.org
We numerically investigate reservoir computing based on the consistency of a
semiconductor laser subjected to optical feedback and injection. We introduce a chaos mask …
semiconductor laser subjected to optical feedback and injection. We introduce a chaos mask …
Photonic machine learning implementation for signal recovery in optical communications
Abstract Machine learning techniques have proven very efficient in assorted classification
tasks. Nevertheless, processing time-dependent high-speed signals can turn into an …
tasks. Nevertheless, processing time-dependent high-speed signals can turn into an …