Cloudflare recently announced support for aggregations in R2 SQL, a new feature that lets developers run SQL queries on data ...

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

To speed up computation, deep neural networks (DNNs) usually rely on highly optimized tensor operators. Despite the effectiveness, tensor operators are often defined empirically with ad hoc semantics.

Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...

Which feature in SQL Server and Azure Synapse Analytics lets you run T-SQL queries against external data stores and makes those external sources appear as tables in a SQL database?

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Women benefit from reduced fracture risk while using menopausal hormone therapy. However, information on ...

For the same task, the code of esProc SPL is simpler and easier to understand than SQL. Next, let's try how to integrate esProc in applications and simplify these complex SQL statements. Download ...

I started using APL for data analysis around 1972. The powerful language, based on a 1962 book by Ken Iverson, A Programming Language, was and is notable for three things: its use of Greek letters and ...