Abstract
Artificial Intelligence (AI) systems have rapidly evolved, becoming integral components of various sectors, including education, healthcare, finance, and manufacturing. This article explores the main features of AI systems—such as machine learning, neural networks, natural language processing, and autonomous decision-making—and their impact on modern society. Emphasis is placed on the practical significance of these systems in optimizing processes, enhancing data-driven decision-making, and improving efficiency and accuracy across industries. The study also addresses challenges such as ethical considerations, data privacy, and system transparency. Through a comprehensive analysis, the article highlights how the effective integration of AI technologies can drive innovation, increase productivity, and transform traditional operational models. Artificial intelligence (AI) systems are designed to emulate human cognitive functions, and their capabilities, such as learning, adaptability, autonomy, and data processing, have led to transformative applications in various fields, including healthcare, finance, manufacturing, and transportation.
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