Bimodal alteration of cognitive accuracy for spintronic artificial neural networks

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Bimodal alteration of cognitive accuracy for spintronic artificial neural networks
Title:
Bimodal alteration of cognitive accuracy for spintronic artificial neural networks
Journal Title:
Nanoscale Horizons
Publication Date:
02 July 2024
Citation:
Kumar, A., Das, D., Lin, D. J. X., Huang, L., Yap, S. L. K., Tan, H. K., Lim, R. J. J., Tan, H. R., Toh, Y. T., Lim, S. T., Fong, X., & Ho, P. (2024). Bimodal alteration of cognitive accuracy for spintronic artificial neural networks. Nanoscale Horizons. https://doi.org/10.1039/d4nh00097h
Abstract:
A bimodal approach to enhance cognitive accuracies by tuning the magnetoresistance and multistate in a compound spin synapse is developed.
License type:
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Funding Info:
This research / project is supported by the Agency for Science, Technology and Research, A*STAR - RIE2020 - SpOT-LITE programme
Grant Reference no. : A18A6b0057

This research / project is supported by the Agency for Science, Technology and Research, A*STAR - RIE 2025 Manufacturing, Trade and Connectivity (MTC) Individual Research Grant (IRG)
Grant Reference no. : M23M6c0101

This research / project is supported by the Agency for Science, Technology and Research, A*STAR - Career Development Fund
Grant Reference no. : C210812017
Description:
ISSN:
2055-6756
2055-6764