Reservoir Computing for Temporal Data Classification Using a Dynamic Solid Electrolyte ZnO Thin Film Transistor

Reservoir Computing for Temporal Data Classification Using a Dynamic Solid Electrolyte ZnO Thin Film Transistor

The processing of sequential and temporal data is essential to computer vision and speech recognition, two of the most common applications of artificial intelligence (AI). Reservoir computing (RC) is a branch of AI that offers a highly efficient framework for processing temporal inputs at a low trai...

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Bibliographic Details
Main Authors: Ankit Gaurav, Xiaoyao Song, Sanjeev Manhas, Aditya Gilra, Eleni Vasilaki, Partha Roy, Maria Merlyne De Souza
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Electronics
Subjects:
reservoir computing
solid electrolyte devices
temporal data
short-term memory
neural networks
thin-film transistor
Online Access:https://www.frontiersin.org/articles/10.3389/felec.2022.869013/full

Internet

https://www.frontiersin.org/articles/10.3389/felec.2022.869013/full

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