A team headed by Dr. Wang Zhongrui from the Shenzhen-Hong Kong Institute of Microelectronics at the Southern University of Science and Technology, in partnership with Researcher Shang Dashan from the National Key Laboratory of IC Manufacturing Technology at the Chinese Academy of Sciences' Institute of Microelectronics, has achieved a breakthrough in developing a deep extreme point cloud learning machine system utilizing random resistive switching memory. This system embodies a collaborative hardware and software design, marking a significant technological innovation. The research findings have been featured in the esteemed journal Nature Communications, with Dr. Wang Zhongrui and Researcher Shang Dashan listed as the corresponding authors. The DOI number for the publication is 10.1038/s41467-025-56079-3. Furthermore, this collaborative research endeavor also involved Fudan University, Zhejiang University, and the University of Hong Kong.