The Role of Machine Learning in Modern Artificial Intelligence Systems

Abstract

The rapid advancement of artificial intelligence (AI) has transformed various sectors, with machine learning (ML) serving as a pivotal component in this evolution. This paper explores the role of machine learning in modern AI systems, highlighting its applications across diverse fields, including healthcare, finance, transportation, and natural language processing. By examining the fundamental principles of machine learning, the challenges it faces, and its future prospects, this study underscores the significance of ML in enhancing the capabilities and performance of AI systems. Furthermore, it discusses the ethical considerations and implications of deploying machine learning algorithms in real-world applications. The findings emphasize that while machine learning is instrumental in advancing AI, it is essential to address its limitations and ensure responsible deployment to maximize its benefits.