Photonic Neural Networks with Spatiotemporal Dynamics Paradigms of Computing and Implementation

• अन्य लेखक: Suzuki, Hideyuki (संपादक), Tanida, Jun (संपादक), Hashimoto, Masanori (संपादक)
• स्वरूप: इलेक्ट्रोनिक पुस्तक अध्याय
• भाषा: अंग्रेज़ी
• प्रकाशित: Singapore Springer Nature 2024
• विषय: Artificial intelligence; Mathematical modelling; Nonlinear science; photonic neural network; spatiotemporal dynamics; optical computing; nonlinear dynamics; fluorescence energy transfer; Ising machine; reservoir computing
• ऑनलाइन पहुंच: DOAB: download the publication; DOAB: description of the publication

सारांश

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.

भौतिक वर्णन

1 electronic resource (278 p.)

आईएसबीएन

978-981-99-5072-0
9789819950720
9789819950713

अभिगमन

Open Access