Description: Wind simulation using artificial intelligence (AI) refers to the use of algorithms and computational models to replicate and predict wind patterns and their effects on the environment. This technique combines meteorological data, physical models, and machine learning to create accurate simulations that can be used in various applications. Wind simulation is crucial in fields such as meteorology, environmental engineering, and urban planning, as it helps understand how wind interacts with different elements of the environment, such as buildings, trees, and bodies of water. Through AI, large volumes of real-time data can be analyzed, facilitating the identification of patterns and trends that may not be evident at first glance. Additionally, these simulations can be used to model the impact of wind on pollutant dispersion, wind energy generation, and infrastructure planning, thus contributing to more sustainable and efficient development. AI’s ability to learn and adapt to new conditions also enhances the accuracy of simulations, making it a valuable tool for researchers and professionals across multiple disciplines.