The Evolution of AI Algorithms: From Rule-Based Systems to Deep Learning

Abstract

The evolution of artificial intelligence (AI) algorithms has significantly transformed the landscape of computing and technology, shaping how machines understand and interact with the world. This paper examines the historical progression of AI algorithms, beginning with early rule-based systems and advancing to modern deep learning techniques. We analyze the development of various AI paradigms, including expert systems, machine learning, and neural networks, highlighting key breakthroughs and technological advancements that facilitated this evolution. Furthermore, we discuss the implications of these developments for various applications, such as natural language processing, computer vision, and robotics. The paper concludes by considering future directions for AI algorithms and their potential impact on society.