Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...

As agentic and RAG systems move into production, retrieval quality is emerging as a quiet failure point — one that can ...

MongoDB said additional partners and offerings are expected to be added to the startup program over time.

Web3 is not just a shiny new buzzword. It is a shift in how value, data, and trust move around the internet. Instead of businesses acting as the central “middle […] ...

Organisations are beginning to implement zero-trust models for data governance thanks to the proliferation of poor quality AI ...

Occasionally one may hear that a data model is “over-normalized,” but just what does that mean? Normalization is intended to analyze the functional dependencies across a set of data. The goal is to ...

Distributed database consistency models form the backbone of reliable and high-performance systems in today’s interconnected digital landscape. These models define the guarantees provided by a ...

When developing machine learning models to find patterns in data, researchers across fields typically use separate data sets for model training and testing, which allows them to measure how well their ...

Last month, destructive wildfires blazed across Maui, Hawaii, killing at least 100 individuals and destroying some 3,200 acres of land. Residents critici zed government leaders, especially those ...

The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in protein design.