Vol. 4 No. 2 (2024): African Journal of Artificial Intelligence and Sustainable Development
Articles

Deep Learning Applications in Smart Manufacturing for Revitalizing the U.S. Semiconductor Sector

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  • Dr. Maria Rodriguez-Sanchez
Dr. Maria Rodriguez-Sanchez
Associate Professor of Engineering, University of Cantabria, Spain

Published 08-09-2024

Keywords

  • Smart Manufacturing
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
Dr. Maria Rodriguez-Sanchez, “Deep Learning Applications in Smart Manufacturing for Revitalizing the U.S. Semiconductor Sector”, African J. of Artificial Int. and Sust. Dev., vol. 4, no. 2, pp. 123–146, Sep. 2024, Accessed: Nov. 21, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/156

Abstract

Deep learning has emerged as an important technology trend with applications in numerous fields, including advanced manufacturing. Over the last few years, smart manufacturing, a subset of the Fourth Industrial Revolution (Industry 4.0), has gradually evolved. Driven by the integration of cyber-physical systems and the use of the Internet of Things (IoT), factory automation and operational efficiency are fundamentally improved.

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