ADVANCES IN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING: A REVIEW OF THEIR IMPACT ON COMPUTER SCIENCE

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized the field of computer science, driving innovations across various domains such as automation, data analysis, cybersecurity, and software development. This review explores the fundamental advancements in AI and ML, highlighting key breakthroughs in deep learning, natural language processing, and reinforcement learning. The increasing computational power, availability of big data, and improvements in algorithms have significantly enhanced AI's capabilities, enabling more efficient and intelligent systems. Moreover, AI-driven technologies have transformed industries by optimizing decision-making, improving predictive analytics, and automating complex tasks. This paper also examines the ethical concerns, challenges, and future directions of AI and ML, including issues related to bias, transparency, and security. By providing an overview of recent developments and their implications, this study offers insights into the evolving landscape of AI and ML and their profound impact on computer science and technological advancements.