Artificial Intelligence in Engineering: Transforming Design, Manufacturing, and Smart Systems

Main Article Content

Seema Jain

Abstract

Artificial Intelligence (AI) is revolutionizing the engineering domain by enhancing automation, improving design efficiency, optimizing manufacturing processes, and enabling intelligent decision-making systems. From predictive maintenance in mechanical systems to smart grids in electrical engineering and intelligent infrastructure in civil engineering, AI-driven technologies are reshaping traditional engineering practices. This paper explores the integration of AI techniques such as machine learning, deep learning, computer vision, and robotics across major engineering disciplines. It also examines real-world applications, benefits, challenges, ethical considerations, and future prospects. The study concludes that AI will continue to be a foundational driver of innovation in engineering, leading to smarter, safer, and more sustainable systems.

Article Details

How to Cite
Jain, S. (2025). Artificial Intelligence in Engineering: Transforming Design, Manufacturing, and Smart Systems. Journal of Integrated Science, AI and Engineering, 1(1). Retrieved from https://publication.shreegprestige.com/index.php/jisae/article/view/6
Section
Articles

References

1. Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach. Pearson.

2. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.

3. Lee, J., Bagheri, B., & Kao, H. (2015). A Cyber-Physical Systems Architecture for Industry 4.0-based Manufacturing Systems.

4. Zhang, Y., & Wang, L. (2017). Artificial Intelligence in Engineering Applications.

5. Schwab, K. (2016). The Fourth Industrial Revolution. World Economic Forum.