Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...

A Compiler-Centric Approach for Modern Workloads and Heterogeneous Hardware. Michael Jungmair Technical University of Munich ...

AI is also accelerating code modernization. AI-assisted refactoring and workload redesign help legacy applications operate ...

Yuki is a real-time data cost optimization platform that routes BigQuery and Snowflake queries to the most efficient compute in real time, with no code changes. Yuki runs privately in your cloud ...

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 ...

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

Get cited. Get mentioned. Get locked out. And you don't have to choose just one. Discover how to get cited and mentioned in AI Mode (and avoid being locked out of this AI search experience completely) ...

Microsoft added query-to-page mapping to its AI Performance report in Bing Webmaster Tools, letting you connect AI grounding queries directly to cited URLs. Why we care. The original dashboard showed ...

MsSQL Toad is a professional-grade database management and administration tool built specifically for Microsoft SQL Server environments. It provides advanced access to database modules, enabling deep ...

Abstract: Efficient SQL Query Optimization (QO) is a fundamental aspect of database management systems, aimed at enhancing query performance and reducing resource consumption typically involves ...

Existing index tuners typically rely on the “what if” API provided by the query optimizer to estimate the execution cost of a query on top of an index configuration. Such cost estimates can be ...