Systematic Analysis on Advancements and Challenges in Memory Cell Technologies

With the rapid growth of data volume in the era of “Internet of Everything”, traditional storage technologies face many challenges in improving storage density and performance. This paper focuses on the current status and development of modern storage technologies, mainly focusing on the mainstream storage technologies such as phase-change memory (PRAM), static random access memory (SRAM) and NAND Flash, and analyzes their application prospects in the field of high data demand such as autonomous driving, as well as the current technical bottlenecks and limitations. The study concluded that despite the advantages of each of these technologies, they still need to be further optimized in terms of energy consumption, reliability and storage density. This paper also looks forward to the future development direction of storage technology, and puts forward suggestions to improve the overall performance through new materials and storage architecture improvements. This research is of great significance for promoting the application of storage technology in the fields of big data, artificial intelligence and autonomous driving, and can provide references for solving future data processing and storage challenges.