A Systematic Review of Emerging Applications of Artificial Intelligence in Computer Science

Abstract

Artificial Intelligence (AI) has become a core component of modern computer science, driving innovation across diverse application domains. This systematic review examines emerging applications of Artificial Intelligence in computer science by synthesizing recent scholarly literature. The study analyzes peer-reviewed research to identify key application areas, including machine learning-based data analytics, natural language processing, computer vision, cyber security, software engineering, cloud computing, and Internet of Things–enabled systems. Emphasis is placed on recent advances such as deep learning architectures, explainable AI, and the integration of AI with big data and edge computing platforms. The review also highlights current challenges related to data privacy, model interpretability, ethical considerations, and computational complexity. By consolidating existing research findings, this study provides a structured overview of technological trends and research directions in AI-driven computer science applications. The insights presented are expected to assist researchers, academicians, and practitioners in understanding the evolving role of Artificial Intelligence and in identifying potential areas for future investigation.