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Research Article

Artificial Intelligence in Engineering: Applications, Challenges, and Future Prospects

Authors

  • James Clark

Abstract

Artificial Intelligence (AI) has become a transformative force across various engineering disciplines. This paper provides a comprehensive review of the current applications of AI in engineering, highlighting the major challenges that hinder its full potential, and offering insights into the future prospects of AI integration within the field. AI techniques such as machine learning (ML), deep learning (DL), and natural language processing (NLP) have shown immense promise in enhancing design, optimization, and decision-making processes. However, challenges related to data quality, computational complexity, ethical concerns, and workforce displacement continue to pose significant hurdles. By examining the advancements in AI applications, this paper seeks to map the trajectory of AI in engineering and identify critical areas for future research and development.

Article information

Journal

Journal of Engineering and Applied Sciences

Volume (Issue)

1 (1)

Pages

Published

2022-10-23

How to Cite

Artificial Intelligence in Engineering: Applications, Challenges, and Future Prospects. (2022). Journal of Engineering and Applied Sciences, 1(1). https://jilpublishers.com/index.php/jeas/article/view/29

References

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