The field of reconfigurable intelligent surfaces (RIS) is rapidly advancing, with a focus on enhancing edge computing and vehicular communications. Researchers are exploring the use of RIS to optimize signal gain, minimize interference, and improve task throughput in various scenarios, including mobile edge computing, vehicular edge computing, and vehicle-to-everything (V2X) communications. The development of new optimization frameworks, algorithms, and deployment strategies is enabling the effective integration of RIS into existing communication systems. Notably, the use of drone-mounted RIS and learning-based approaches is showing great promise in improving communication reliability and efficiency. Some noteworthy papers include: RAISE, which proposes an optimization framework for RIS placement in multi-server vehicular edge computing systems, demonstrating significant improvements in task throughput. The paper on Enhancing V2X Communications with UAV-mounted Reconfigurable Intelligent Surfaces, which introduces a heuristic approach for optimizing the location and orientation of drone relay stations with RIS, resulting in significant communication improvements.