Artificial Intelligence in Computer Science



AI, Computer science, Classification, Techniques, Application, Challenges and limitations


Artificial Intelligence (AI) has emerged as a cornerstone of modern computer science, exerting a profound influence on diverse sectors of society. This article offers a comprehensive overview of the evolution and impact of AI in computer science. Beginning with its historical roots and development, the article traces AI's trajectory from its inception to its current state of advancement. Moreover, the article elucidates the techniques of AI in computer science, offering illuminating insights into a spectrum of methodologies including machine learning, deep learning, natural language processing, computer vision, knowledge representation and reasoning, recommender systems, and optimization techniques. In this context, the article explores the current applications of AI across various sectors, including engineering, medical fields, technology, military affairs, economy, education, entertainment, transportation, emphasizing its role in enhancing efficiency, productivity, and decision-making. In doing so, the article delves into the potential future impact of AI, envisioning a world where AI-powered technologies continue to revolutionize human-computer interaction, automation, and artificial general intelligence. To sum up, the article underscores the pivotal role of AI in shaping the future of computer science and society at large, advocating for continued research, development, and ethical stewardship of AI technologies.




How to Cite

Khaleel, M., & Jebrel , A. (2024). Artificial Intelligence in Computer Science: Int. J. Electr. Eng. And Sustain., 2(2), 01–21. Retrieved from