Merge lists even with typos and inconsistent names. Tune the similarity threshold, use a transform table, and audit results ...

Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...

Modern big data systems run on cloud environments where resources are shared among several users and applications. As a result, declarative user queries need to be optimized and executed over ...

AI-powered search isn’t coming. It’s already here: As rankings and clicks matter less, citations matter more. Businesses now need content that AI engines trust and reference when answering questions.

As SQL development increasingly becomes part of full-stack workflows, developers are looking for ways to simplify their tooling without compromising capability. While SQL Server Management Studio ...

Abstract: Autonomous parking trajectory planning in unstructured environments with irregular obstacles must address the challenges posed by non-convex obstacle constraints. Due to the coupling between ...

Abstract: SQL query optimization (QO) is a critical component of database management systems, essential for improving query execution times, enhancing resource utilization, and ensuring scalability in ...

The shift from traditional search engines to AI-powered answer engines signals more than a technical upgrade. It marks a fundamental change in how people discover, evaluate, and act on information.

ABSTRACT: This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in modern work environments that require processing large amounts of ...

Search optimization now requires combining traditional SEO with AI-focused GEO and answer-driven AEO strategies AI search usage continues to grow, with 10% of US consumers currently using generative ...