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.

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

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

Exadata Exascale uses a multitenant resource pool, hardware-based remote direct memory access and predictive preprocessing to ...

On July 21, Haim Israel, Head of Global Thematic Research at Bank of America, joined CNBC to talk about the revolutionary potential of quantum computing.

Utkarsh Kanwat is an AI engineer with ANZ, a financial institution headquartered in Australia. In a blog post, he broke down the numbers showing that large GenAI models become mathematically ...

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 ...

Also adds a new code interpreter to its conversational analytics agent in Looker to help business users perform more complex ...

GPT-5 is more than an upgrade. It aims to be a single, smarter system that blends reasoning, multimodality, cost efficiency, ...