Photonic Neural Networks with Spatiotemporal Dynamics: Paradigms of Computing and Implementation

Author:   Hideyuki Suzuki ,  Jun Tanida ,  Masanori Hashimoto
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2024
ISBN:  

9789819950713


Pages:   278
Publication Date:   17 October 2023
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Photonic Neural Networks with Spatiotemporal Dynamics: Paradigms of Computing and Implementation


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Author:   Hideyuki Suzuki ,  Jun Tanida ,  Masanori Hashimoto
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2024
Weight:   0.652kg
ISBN:  

9789819950713


ISBN 10:   9819950716
Pages:   278
Publication Date:   17 October 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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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.  

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