Zobrazeno 1 - 10
of 4 511
pro vyhledávání: '"Reservoir computing"'
Publikováno v:
Dynamics, Vol 4, Iss 3, Pp 643-670 (2024)
Artificial intelligence (AI) systems of autonomous systems such as drones, robots and self-driving cars may consume up to 50% of the total power available onboard, thereby limiting the vehicle’s range of functions and considerably reducing the dist
Externí odkaz:
https://doaj.org/article/c91c72840a234667942c847b2f07f1f3
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract We investigated a time-delayed optoelectronic oscillator (OEO) that displays a wide range of complex dynamic behavior under small time delay. The phase-space trajectory distributions in different dynamic regimes were compared which brings a
Externí odkaz:
https://doaj.org/article/ca9886b12e3945c5996d941e1a91fa58
Autor:
Itsuki Kanemura, Katsunori Kitano
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Network structures of the brain have wiring patterns specialized for specific functions. These patterns are partially determined genetically or evolutionarily based on the type of task or stimulus. These wiring patterns are important in info
Externí odkaz:
https://doaj.org/article/78adee20b21742ba882a2a1fee97decb
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 11, Pp n/a-n/a (2024)
Accurate prediction of the future evolution of observational time series is a paramount challenge in current data‐driven research. While existing techniques struggle to learn useful representations from the temporal correlations, the high dimension
Externí odkaz:
https://doaj.org/article/3638a1c84b9b4871bf6e343994f30c90
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Event cameras have shown unprecedented success in various computer vision applications due to their unique ability to capture dynamic scenes with high temporal resolution and low latency. However, many existing approaches for event data representatio
Externí odkaz:
https://doaj.org/article/cc08a60f206643c28ea3459a49b8876e
Publikováno v:
Advanced Optical Technologies, Vol 13 (2024)
Nowadays, as the ever-increasing demand for more powerful computing resources continues, alternative advanced computing paradigms are under extensive investigation. Significant effort has been made to deviate from conventional Von Neumann architectur
Externí odkaz:
https://doaj.org/article/6bd1155c31764fdf9a6704870893cc1f
Autor:
Keita Tokuda, Yuichi Katori
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
IntroductionNonlinear and non-stationary processes are prevalent in various natural and physical phenomena, where system dynamics can change qualitatively due to bifurcation phenomena. Machine learning methods have advanced our ability to learn and p
Externí odkaz:
https://doaj.org/article/e6b5207fb76d481b8361b4c2d6ca2f7e
Autor:
Danian Dong, Woyu Zhang, Yuanlu Xie, Jinshan Yue, Kuan Ren, Hongjian Huang, Xu Zheng, Wen Xuan Sun, Jin Ru Lai, Shaoyang Fan, Hongzhou Wang, Zhaoan Yu, Zhihong Yao, Xiaoxin Xu, Dashan Shang, Ming Liu
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 10, Pp n/a-n/a (2024)
Reservoir computing (RC) possesses a simple architecture and high energy efficiency for time‐series data analysis through machine learning algorithms. To date, RC has evolved into several innovative variants. The next generation reservoir computing
Externí odkaz:
https://doaj.org/article/ccf274fc05ba4f94bfb4dcb1dd3a1470
Publikováno v:
Results in Physics, Vol 65, Iss , Pp 107982- (2024)
In this work, we use an optical-neural network to recognize a series of optical triangular and square wave packets. This chip is designed based on the reservoir computing, consisting of the directional couplers, phase shifters, Mach-Zehnder modulator
Externí odkaz:
https://doaj.org/article/652c84d22888469482c0e6f431f26ac3
Autor:
Yoshihiro Yonemura, Yuichi Katori
Publikováno v:
Frontiers in Computational Neuroscience, Vol 18 (2024)
Multi-sensory integration is a perceptual process through which the brain synthesizes a unified perception by integrating inputs from multiple sensory modalities. A key issue is understanding how the brain performs multi-sensory integrations using a
Externí odkaz:
https://doaj.org/article/f7961a0cb6484beba9a28d698b4716d3