We present Baihe, a SysML Framework for AI-driven Databases. Using Baihe, an existing relational database system may be retrofitted to use learned components for query optimization or other common tasks, such as e.g. learned structure for indexing. To ensure the practicality and real world applicability of Baihe, its high level architecture is based on the following requirements: separation from the core system, minimal third party dependencies, Robustness, stability and fault tolerance, as well as stability and configurability. Based on the high level architecture, we then describe a concrete implementation of Baihe for PostgreSQL and present example use cases for learned query optimizers. To serve both practitioners, as well as researchers in the DB and AI4DB community Baihe for PostgreSQL will be released under open source license.

Men are far more aggressive on online dating sites - but often'mass mail' women that are out of their league in the hope of a response, researchers have found. They say that by comparison, women tend to be more conscious of their own attractiveness to other users and approach fewer people. The study found major behavioural differences between male and female users when it comes to contacting potential partners. The researchers say men are far more aggressive on online dating sites - but often'mass mail' women that are out of their league in the hope of a response, researchers have found. Using data collected from Baihe, one of the largest dating websites in China, researchers from Binghamton University, University of Massachusetts Lowell and Northeastern University analysed the messages and how suitable each person actually was.