scholarly journals A numerical exploration of signal detector arrangement in a spin-wave reservoir computing device

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Takehiro Ichimura ◽  
Ryosho Nakane ◽  
Gouhei Tanaka ◽  
Akira Hirose
2021 ◽  
Vol 60 (SC) ◽  
pp. SCCF02
Author(s):  
Hadiyawarman ◽  
Yuki Usami ◽  
Takumi Kotooka ◽  
Saman Azhari ◽  
Masanori Eguchi ◽  
...  

2021 ◽  
Vol 119 (11) ◽  
pp. 112403
Author(s):  
A. Papp ◽  
G. Csaba ◽  
W. Porod

2021 ◽  
Author(s):  
Takumi Kotooka ◽  
Sam Lilak ◽  
Adam Stieg ◽  
James Gimzewski ◽  
Naoyuki Sugiyama ◽  
...  

Abstract Modern applications of artificial intelligence (AI) are generally algorithmic in nature and implemented using either general-purpose or application-specific hardware systems that have high power requirements. In the present study, physical (in-materio) reservoir computing (RC) implemented in hardware was explored as an alternative to software-based AI. The device, made up of a random, highly interconnected network of nonlinear Ag2Se nanojunctions, demonstrated the requisite characteristics of an in-materio reservoir, including but not limited to nonlinear switching, memory, and higher harmonic generation. As a hardware reservoir, the devices successfully performed waveform generation tasks, where tasks conducted at elevated network temperatures were found to be more stable than those conducted at room temperature. Finally, a comparison of voice classification, with and without the network device, showed that classification performance increased in the presence of the network device.


1988 ◽  
Vol 49 (C8) ◽  
pp. C8-1599-C8-1600
Author(s):  
K. Nakamura ◽  
M. Mino ◽  
H. Yamazaki

2020 ◽  
Vol 33 (109) ◽  
pp. 21-31
Author(s):  
І. Ya. Zeleneva ◽  
Т. V. Golub ◽  
T. S. Diachuk ◽  
А. Ye. Didenko

The purpose of these studies is to develop an effective structure and internal functional blocks of a digital computing device – an adder, that performs addition and subtraction operations on floating- point numbers presented in IEEE Std 754TM-2008 format. To improve the characteristics of the adder, the circuit uses conveying, that is, division into levels, each of which performs a specific action on numbers. This allows you to perform addition / subtraction operations on several numbers at the same time, which increas- es the performance of calculations, and also makes the adder suitable for use in modern synchronous cir- cuits. Each block of the conveyor structure of the adder on FPGA is synthesized as a separate project of a digital functional unit, and thus, the overall task is divided into separate subtasks, which facilitates experi- mental testing and phased debugging of the entire device. Experimental studies were performed using EDA Quartus II. The developed circuit was modeled on FPGAs of the Stratix III and Cyclone III family. An ana- logue of the developed circuit was a functionally similar device from Altera. A comparative analysis is made and reasoned conclusions are drawn that the performance improvement is achieved due to the conveyor structure of the adder. Implementation of arithmetic over the floating-point numbers on programmable logic integrated cir- cuits, in particular on FPGA, has such advantages as flexibility of use and low production costs, and also provides the opportunity to solve problems for which there are no ready-made solutions in the form of stand- ard devices presented on the market. The developed adder has a wide scope, since most modern computing devices need to process floating-point numbers. The proposed conveyor model of the adder is quite simple to implement on the FPGA and can be an alternative to using built-in multipliers and processor cores in cases where the complex functionality of these devices is redundant for a specific task.


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