Deep Learning Techniques for Advanced Robotics in Laptop Manufacturing: Boosting Efficiency and Competitiveness in the USA

Authors

  • Dr. Beatriz Hernandez-Gomez Professor of Industrial Engineering, Monterrey Institute of Technology and Higher Education (ITESM), Mexico Author

Keywords:

Advanced Robotics, Laptop Manufacturing

Abstract

This essay introduces the need for developing and applying deep learning strategies in advanced robotics for industries, especially electronics industries. The main goal of this essay is to discuss the need and the impact of AI-based advanced robotics, therefore, deep learning for industries. Specifically, to propose laptop manufacturing as an important target industry for robotic advance. Laptop manufacturing can become an important industry for the USA, as they are the host of several leading companies in this industry. Therefore, this essay analyzes how the USA can employ AI-based techniques such as deep reinforcement learning (RL) for advanced robotics in this context, outcompete China, and promote competitiveness in laptop and semiconductor industries.

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Published

29-09-2024

How to Cite

[1]
Dr. Beatriz Hernandez-Gomez, “Deep Learning Techniques for Advanced Robotics in Laptop Manufacturing: Boosting Efficiency and Competitiveness in the USA”, J. of Artificial Int. Research and App., vol. 4, no. 2, pp. 124–154, Sep. 2024, Accessed: Nov. 21, 2024. [Online]. Available: https://aimlstudies.co.uk/index.php/jaira/article/view/235

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