The security industry has spent the last year talking about models, copilots, and agents, but a quieter shift is happening ...

Depending on the industry where AI is deployed, model data drift can have alarming consequences ranging from financial to ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

Gartner predicts that by 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI.

Abstract: Arabic’s complex morphology and English-defined database schemas make Arabic Text-to-SQL particularly challenging, since question tokens and schema labels rarely align lexically. This paper ...

SQL Server backups cannot be restored to older versions directly. Use Export and Import Data-Tier Application for cross-version database migration. Reconfigure permissions, logins, and connection ...

Abstract: This work proposes a physics-guided, data-driven reversible modeling and control framework to achieve unmanned and automated operation of industrial heavy-load hydraulic manipulators. Rather ...

I am a Backend Developer and Software Engineer with a solid background in Artificial Intelligence in academic and professional fields, looking forwa ...

Database design project modeling Spotify service with normalized schema of Users, Artists, Albums, Songs, and Playlists. Includes ER diagram and SQL schema in 3NF. A complete E-Commerce Data Warehouse ...

Database design project modeling Spotify service with normalized schema of Users, Artists, Albums, Songs, and Playlists. Includes ER diagram and SQL schema in 3NF. A comprehensive database project for ...