Data Storage

Data storage research focuses on optimizing efficiency, capacity, and accessibility of data across diverse applications, from hard drive design to cloud computing and AI. Current efforts concentrate on leveraging machine learning, particularly generative models and reinforcement learning, to improve data compression, predict failures, and dynamically manage resources like cache and storage allocation in hybrid systems. These advancements are crucial for addressing the ever-increasing demands of big data, improving the performance and sustainability of storage systems, and enabling the development of more sophisticated AI applications.