• Mukesh Garg
• Ashwani Kumar

The integration of Artificial Intelligence (AI) into electrical engineering has revolutionized the field, from early foundations to recent integration with IoT and Cyber-Physical Systems. Key figures like Herbert Simon and Allen Newell pioneered early AI research, leading to the development of expert systems. The resurgence of neural networks saw significant contributions from electrical engineers in pattern recognition and signal processing. Machine learning techniques enabled advancements in power systems optimization and fault detection. This paper provides an overview of the historical journey of AI in electrical engineering, highlighting key developments and the role of electrical engineers in driving innovation. Additionally, it discusses the future directions of AI in the field, including the potential impact of emerging technologies like quantum computing, and emphasizes the importance of ethical considerations and transparency in AI integration.

Artificial Intelligence, Expert System, Fault detection

"Introduction to AI in electrical engineering: A historical perspective", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.f285-f290, April-2024, Available :http://www.jetir.org/papers/JETIR2404534.pdf

"Introduction to AI in electrical engineering: A historical perspective", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppf285-f290, April-2024, Available at : http://www.jetir.org/papers/JETIR2404534.pdf