The field of wireless communications is witnessing significant advancements with the integration of reconfigurable intelligent surfaces (RISs). Recent developments have showcased the potential of RISs in enhancing physical layer security, improving indoor positioning, and optimizing phased array synthesis. The use of RISs has been explored in various applications, including IoT-based RF-FSO integrated networks, radar sensing, and near-field localization. Notably, the concept of fluid RIS (FRIS) has emerged, offering dynamic reconfigurability and adaptability to the wireless environment. Researchers have also investigated the application of RISs in index modulation, wireless power transfer, and low-altitude wireless networks. Furthermore, the intersection of RISs with artificial intelligence and machine learning has led to the development of energy-efficient designs and optimized solutions for wireless communications systems. Some noteworthy papers in this area include: Enhancing Physical Layer Security in IoT-Based RF-FSO Integrated Networks, which demonstrates a 47.67% improvement in secrecy outage probability using multi-RIS structures. The paper From Fixed to Fluid: Unlocking the New Potential with Fluid RIS (FRIS) introduces the concept of FRIS and its potential applications. The paper 1-bit RIS-aided Index Modulation with Quantum Annealing presents a novel index modulation scheme using 1-bit RIS phase resolution and quantum annealing. The paper RIS-assisted Data Collection and Wireless Power Transfer in Low-altitude Wireless Networks proposes a deep reinforcement learning-based approach for optimizing RIS phase shifts and UAV trajectory in low-altitude wireless networks.