Spatial data processing and query algorithms underpin a critical component of modern geospatial analysis, enabling efficient handling and interrogation of vast and complex datasets.

Efficient query processing is underpinned by the design and implementation of novel data structures and algorithms that address the increasing demands of modern data-intensive applications.

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

Discover how Sarvesh Kumar Gupta's innovative distributed database pipeline transformed financial data processing, maximising ...

This was a high-stakes implementation of advanced data pipelines designed with zero tolerance for data inconsistency or ...

Elsevier’s new Reaxys AI Search uses natural language to unlock chemical research insights faster — cutting costs and ...

Failure points are key system elements that, if failed, render your platform completely or partially unavailable. These can ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an ...

Solidigm's Ace Stryker explains why we need a new approach to retrieval-augmented generation (RAG) that enables unprecedented ...

Utkarsh Kanwat is an AI engineer with ANZ, a financial institution headquartered in Australia. In a blog post, he broke down ...

In our case, decades of SQL procedures and business logic that underpin a platform capable of handling over 3 million ...

Google’s Robby Stein shares new details about the query fan-out technique in AI Mode, explaining how Google generates and ...