Every time someone orders food online, checks exam results, or streams a video, new data is created and saved. Behind these activities are large databases that store millions of records. These ...

Abstract: Text-to-SQL conversion, the process of generating SQL queries from natural language input, has gained significant attention due to its potential to simplify database interaction. Although ...

For developers working with SQL Server, few performance tuning techniques are as essential--or as frequently misunderstood--as indexing. Done right, indexing can drastically improve application ...

Abstract: The Text-to-SQL task is to convert natural language queries into Structured Query Language (SQL) to achieve a natural language interface for database queries. The current research on Text-to ...

Prequel is a SQL query engine built in C#. The goal of this project is to demonstrate how query engines are built, and to bring a query engine to the .NET community. The project contains a ...

Google’s query fan-out technique issues multiple background searches based on initial question. This system is active across AI Mode, Deep Search, and some AI Overview results. The approach relies on ...

About The Study: This randomized clinical trial found that among older adults at risk of cognitive decline and dementia, a structured, higher-intensity intervention of regular ...

At Microsoft Build 2025, we announced the public preview of SQL Server 2025. Built on a foundation of best-in-class security, performance, and availability, SQL Server 2025 empowers customers to ...

Structured Query Language, the standard means of manipulating and querying data in relational databases since the 1980s, has dropped out of the Tiobe index top 10 in recent months and now ranks 12th, ...

Snowflake has thousands of enterprise customers who use the company's data and AI technologies. Though many issues with generative AI are solved, there is still lots of room for improvement. Two such ...

MIT researchers discovered that vision-language models often fail to understand negation, ignoring words like “not” or “without.” This flaw can flip diagnoses or decisions, with models sometimes ...