In-sensor reservoir computing for language learning via two-dimensional memristors

Author:

Sun Linfeng12ORCID,Wang Zhongrui3ORCID,Jiang Jinbao24,Kim Yeji5,Joo Bomin6,Zheng Shoujun2ORCID,Lee Seungyeon2ORCID,Yu Woo Jong5ORCID,Kong Bai-Sun56,Yang Heejun7ORCID

Affiliation:

1. Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement, Ministry of Education, School of Physics, Beijing Institute of Technology, Beijing 100081, China.

2. Department of Energy Science, Sungkyunkwan University, Suwon 16419, Korea.

3. Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong.

4. IBS Center for Integrated Nanostructure Physics (CINAP), Institute for Basic Science, Sungkyunkwan University, Suwon 16419, Korea.

5. Department of Artificial Intelligence, Sungkyunkwan University, Suwon 16419, Korea.

6. Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea.

7. Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.

Abstract

High dimensionality and fading memory for in-sensor reservoir computing are achieved via two-dimensional memristors.

Funder

Samsung

FP7 Information and Communication Technologies

Wang

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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