Abstract
The rapid advancement of intelligent systems and their integration into computer architecture have significantly transformed software engineering processes. Modern intelligent systems, powered by artificial intelligence (AI) and machine learning (ML), offer innovative solutions to optimize performance, enhance adaptability, and automate complex decision-making in software development. This paper explores the role of intelligent systems in improving the efficiency and performance of computer architecture. It analyzes how AI-driven models contribute to architectural improvements and how these advancements translate into better software development practices. Through a review of existing literature and empirical evidence, this paper highlights the key benefits and challenges associated with integrating intelligent systems into computer architecture. The findings suggest that intelligent systems can reduce development time, improve error detection, and enhance overall system performance, leading to more reliable and efficient software products.
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