The role of artificial intelligence in data visualization and creative problem-solving in STEAM disciplines

This paper examines the application of artificial intelligence (AI) in data visualization and solving complex problems in STEM (science, technology, engineering and mathematics) disciplines. AI methods, such as neural networks, machine learning, and genetic algorithms, are analyzed, and their impact on the efficiency of processing large volumes of data is discussed. The study investigates how AI enhances the visualization of complex physical and biological processes, as well as the optimization of engineering and mathematical tasks. The results demonstrate that AI not only improves the accuracy of analysis but also opens new possibilities for creative problem solving, emphasizing its importance in scientific processes.

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