Photonic Neural Networks With Spatiotemporal Dynamics: Paradigms of Computing and Implementation - Couverture rigide

Couverture rigide

ISBN 10 : 9819950716 ISBN 13 : 9789819950713

Editeur : Springer Verlag, Singapore, 2023

Synopsis

This open access book presents an overview of recent advances in photonic neural networks with spatiotemporal dynamics. The computing and implementation paradigms presented in this book are outcomes of interdisciplinary studies by collaborative researchers from the three fields of nonlinear mathematical science, information photonics, and integrated systems engineering. This book offers novel multidisciplinary viewpoints on photonic neural networks, illustrating recent advances in three types of computing methodologies: fluorescence energy transfer computing, spatial-photonic spin system, and photonic reservoir computing.

The book consists of four parts: Part I introduces the backgrounds of optical computing and neural network dynamics; Part II presents fluorescence energy transfer computing, a novel computing technology based on nanoscale networks of fluorescent particles; Parts III and IV review the models and implementation of spatial-photonic spin systems and photonic reservoir computing, respectively.

These contents are beneficial to researchers in a broad range of fields, including information science, mathematical science, applied physics, and engineering, to better understand the novel computing concepts of photonic neural networks with spatiotemporal dynamics.

A propos du livre

À propos de l?auteur

Hideyuki Suzuki received the B.S. degree in mathematics, and the M.E. and Ph.D. degrees in mathematical engineering from the University of Tokyo in 1996, 1998 and 2001, respectively. He is currently a Professor in the Graduate School of Information Science and Technology at Osaka University. His current research interests include nonlinear dynamics and its applications.

Jun Tanida received the B.E., M.E., and Ph.D. degrees in applied physics from Osaka University in 1981, 1983, and 1986, respectively. He is currently a Professor in the Graduate School of Information Science and Technology at Osaka University. His current research interests include information photonics, computational imaging, and photonic DNA computing.

Masanori Hashimoto received the B.E., M.E., and Ph.D. degrees in communications and computer engineering from Kyoto University in 1997, 1999, and 2001, respectively. He is currently a Professor in the Department of Informatics at Kyoto University. His current research interests include the design for manufacturability and reliability, soft error characterization, timing and power integrity analysis, reconfigurable computing, and low-power circuit design.

Détails de l'édition

• Éditeur: Springer Verlag, Singapore
• Date d'édition: 2023
• Langue: anglais
• ISBN 10: 9819950716
• ISBN 13: 9789819950713
• Reliure: Relié
• Numéro d'édition: 1
• Nombre de pages: 286
• Éditeur: Suzuki Hideyuki, Tanida Jun, Hashimoto Masanori
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Allemagne