The field of Remote Direct Memory Access (RDMA) and memory technologies is experiencing significant advancements, driven by the need for low-latency and high-throughput networking in modern data centers, HPC applications, and AI/ML workloads. Researchers are exploring new approaches to improve the performance, security, and reliability of RDMA systems, including the development of formally verified libraries and frameworks for building multi-node objects. Additionally, there is a growing focus on understanding and mitigating the risks associated with RDMA, such as resource exhaustion attacks and read disturbance phenomena in DRAM chips. These innovations have the potential to significantly impact the design and operation of future computing systems. Noteworthy papers include: A Verified High-Performance Composable Object Library for Remote Direct Memory Access, which introduces a formally verified library for building multi-node objects on RDMA. Noisy Neighbor: Exploiting RDMA for Resource Exhaustion Attacks in Containerized Clouds, which proposes a threshold-driven framework to mitigate resource exhaustion attacks in RDMA-based containerized clouds. ColumnDisturb: Understanding Column-based Read Disturbance in Real DRAM Chips and Implications for Future Systems, which experimentally demonstrates a new read disturbance phenomenon in real DRAM chips and highlights its implications for future systems.