Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...
Embedding-based search outperforms traditional keyword-based methods across various domains by capturing semantic similarity using dense vector representations and approximate nearest neighbor (ANN) ...
The World Economic Outlook (WEO) database contains selected macroeconomic data series from the statistical appendix of the World Economic Outlook report, which presents the IMF staff's analysis and ...
You can view a database structure in the standard ERD (Entity Relation Diagram) form. Diagrams are available for all tables and schemas (databases). To view the Diagram for a full database schema, ...
When you open the Diagrams tab of the Database Object Editor, you can visually explore, analyze, and customize your database structure. The interface includes: DBeaver supports diagrams for existing ...
Background: Lactate-to-albumin ratio (LAR) is an emergency predictive indicator of sepsis-related mortality. An elevated LAR is associated with poor outcomes in critically ill patients. However, its ...
Elon Musk indicated in a post on X that millions of people listed in a Social Security database are recorded as centenarians "with the death field set to FALSE!" "According to the Social Security ...
As President Donald Trump this week sought to rewrite the history of his supporters’ attack on the US Capitol, a database detailing the vast array of criminal charges and successful convictions of ...
Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback