Revolutionizing Electronics and Telecommunication: The Impact of AI and Machine Learning

The integration of artificial intelligence (AI) and machine learning (ML) in Electronics and Telecommunication (E&TC) engineering is reshaping various applications, demonstrating significant transformative potential. This review explores the multifaceted roles of AI/ML across critical domains, including VLSI, 5G networks, IoT, antennas, emobility, satellite communication, and sensor networks. Key findings highlight AI/ML's capabilities in optimizing processes, enhancing predictive analytics, and facilitating automation, thereby improving operational efficiency, and fostering innovation. Despite these advancements, ethical challenges and data privacy concerns must be addressed to ensure transparency and accountability in AI/ML deployment. Prospects point towards the convergence of AI/ML with emerging technologies such as quantum computing and edge computing, promising new opportunities for innovation. Continued research should focus on enhancing model explainability and promoting interdisciplinary collaborations while exploring AI ethics and regulatory frameworks. Overall, the evolution of AI/ML in E&TC engineering holds the promise of revolutionizing industries and enhancing societal well-being, leading to a smarter, more connected future.