Simulation Based Approach

Simulation-based approaches are used across diverse scientific fields to model complex systems and predict their behavior, offering valuable insights where direct experimentation is impractical or impossible. Current research focuses on improving simulation fidelity through techniques like data assimilation (combining real-world data with simulations) and employing advanced architectures such as transformers for more realistic and efficient modeling of dynamic systems, including soft body movements and human behavior. These advancements are crucial for enhancing decision-making in areas ranging from urban planning and robotics to the verification of complex systems like SoCs, ultimately leading to more robust and reliable technologies.