Transforming Electronics Engineering with Artificial Intelligence: Opportunities and Challenges in Design, Testing, Production, Maintenance, and Control Systems

This article examines how artificial intelligence (AI) is being incorporated into electronics engineering and how this might completely change the discipline. AI-based systems have prospects for raising system dependability, lowering energy usage, and boosting performance. The study offers a summary of the most recent developments in the fields of design automation, testing and diagnostic, production, maintenance, and control systems in electronics engineering. AI-based design automation technologies optimize the design process by cutting expenses and time spent on development while enhancing precision and effectiveness. AI-powered testing and diagnosis systems identify flaws early on, saving money and downtime. AI-powered industrial solutions improve efficiency, reduce waste, and boost effectiveness. AI-based maintenance methods reduce expenses and downtime while improving equipment reliability. AI-driven control systems improve system performance, reduce energy consumption, and increase stability. It is likely that as AI advances, new applications and tactics that push the boundaries of electronics engineering will surface. Concerns such as employment displacement, ethical dilemmas, data security, and privacy must all be addressed. However, the application of AI in the field of electronics has the potential to greatly advance a variety of industries and businesses given enough consideration and planning.