Abstract
This article is devoted to the systematic analysis of the application of artificial intelligence (AI) technologies in the field of applied sciences. The study examines the integration of AI into scientific research processes, particularly the role of machine learning algorithms, neural networks, and automated experimental systems in applied sciences. The article analyzes examples of AI applications in applied fields such as medicine, biology, engineering, and materials science, substantiating the importance of these technologies in accelerating the process of scientific discovery. Furthermore, the advantages, limitations, and future development prospects of AI-based approaches are discussed.
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