Authors

C.Vinobhaji

Information Technology, PSG Polytechnic College, Tamil Nadu, India

B.Balaji

Information Technology, PSG Polytechnic College, Tamil Nadu, India

Abstract

Modern intelligent systems have transformed the way technology interacts with human society by enabling machines to perceive, learn, reason, and make decisions with minimal human intervention. Driven by advancements in artificial intelligence, machine learning, data analytics, and automation, these systems are increasingly integrated across diverse domains including healthcare, agriculture, finance, manufacturing, education, and smart cities. This research explores the foundational technologies behind modern intelligent systems and examines their wide-ranging applications in real-world environments. The study highlights key components such as neural networks, natural language processing, computer vision, and predictive analytics that empower intelligent decision-making. It further analyzes how these systems enhance operational efficiency, reduce human error, improve accuracy, and support data-driven strategies. Case-based discussions illustrate the role of intelligent systems in medical diagnosis, fraud detection, autonomous vehicles, precision agriculture, and industrial automation. While emphasizing the technological benefits, the paper also addresses challenges related to data privacy, ethical concerns, transparency, and system reliability. The findings demonstrate that modern intelligent systems are not only reshaping industries but also influencing social structures and economic development. The research concludes that continued interdisciplinary innovation and responsible deployment are essential to maximize the positive impact of intelligent technologies on society.

Keywords

Intelligent Systems Artificial Intelligence Machine Learning Foundation Models Reinforcement Learning Cyber-Physical Systems Human-Centered AI

Citation of this Article

C.Vinobhaji, & B.Balaji. (2025). Modern Intelligent Systems and Their Applications. Journal of Artificial Intelligence and Emerging Technologies. 2(9), 33-42. Article DOI: https://doi.org/10.47001/JAIET/2025.209005

Licence Copyright (c) 2026 Journal of Artificial Intelligence and Emerging Technologies. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence.

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