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

PageIndex, a new open-source framework, achieves 98.7% accuracy on complex document retrieval by using tree search instead of ...

Abstract: This work studies black-box adversarial attacks against deep neural networks, where the attacker only has access to the query feedback from the target model. The current state-of-the-art ...

The query optimizer is a crucial component in a relational database system and is responsible for finding a good execution plan for a SQL query. For cloud database service providers, the importance of ...

In a modern enterprise data environment, the increasing volume of data, distributed architecture, and complex application dependencies challenge traditional query-tuning methods. Observability ...

Have you ever found yourself staring at a spinning wheel, waiting for your Power Query to refresh, only to wonder if there’s a better way? For anyone working with large datasets, refresh delays aren’t ...

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 ...

The best CRM article on Page 1 might lose to a single paragraph buried on Page 3. That’s how AI search works now, and it’s why traditional SEO strategies are failing businesses that should be winning.

Abstract: This paper describes an implementation of Kruskal's algorithm in query optimization process for generation of a near optimal execution query tree. The open source Post- greSQL DBMS was used ...

Google’s AI Overviews (AIOs) are AI-generated responses that appear at the top of the search engine results page (SERP). Unlike traditional search results, AIOs summarize information from multiple ...