Abstract
Artificial Intelligence (AI) is redefining the landscape of Computer and Information Sciences by enabling machines to perform complex tasks, make decisions, and adapt autonomously. The evolution of deep learning, natural language processing, and reinforcement learning has driven AI's integration into healthcare, finance, education, and cybersecurity. This review explores recent advancements in AI models, computational trends, implementation challenges, and ethical concerns. Quantitative analyses are presented through tables and line diagrams, highlighting trends in AI adoption, algorithm accuracy, computational efficiency, and global investment. While AI continues to evolve rapidly, this article emphasizes the importance of transparency, data ethics, and interdisciplinary collaboration.
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