B Tree

B-trees are fundamental data structures used for efficient data storage and retrieval, primarily aiming to minimize search time. Current research focuses on enhancing B-tree performance through machine learning techniques, such as creating learned indexes that predict data locations to achieve sub-logarithmic or even constant-time query responses, and augmenting traditional B-trees with learned components to improve self-organization and handle diverse data distributions. These advancements have significant implications for database management systems and other applications requiring fast data access, potentially leading to orders-of-magnitude improvements in query speed compared to traditional methods.