The fields of AI-driven simulation, autonomous systems, and Internet of Things (IoT) are witnessing significant developments, driven by advancements in machine learning, optimization techniques, and innovative simulation frameworks. A common theme among these areas is the focus on improving efficiency, scalability, and reliability. Notable advancements include the use of machine learning to accelerate physical simulations, such as power flow simulations, and the development of live GPU cluster simulators for performance estimation. Additionally, researchers are optimizing container configurations for edge computing applications and developing data-driven energy models for industrial IoT systems. In autonomous systems, innovative methods and technologies are being developed to improve safety and efficiency, with a particular emphasis on scenario generation and prediction. Graph neural networks and reinforcement learning are being applied to control biological networks, while large language models and evolutionary strategies are being used to control cellular dynamics and develop novel trajectory prediction heuristics. The IoT field is also experiencing significant developments in resource allocation and management, driven by the increasing demand for efficient and adaptive systems. Techniques such as multi-objective Q-learning, deep reinforcement learning, and graph neural networks are being applied to various IoT scenarios, including routing, simultaneous wireless information and power transfer (SWIPT), and mobile edge computing (MEC). Furthermore, the understanding of complex systems is shifting towards analyzing the interplay between network structures and dynamics. Recent studies have focused on the coevolution of actions and opinions in networks, highlighting the importance of game-theoretic mechanisms and social psychology in shaping collective behavior. Overall, these advancements have the potential to significantly improve the performance, safety, and efficiency of AI-driven simulation, autonomous systems, and IoT applications, and will likely have a significant impact on various industries in the future.