Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

Split your metadata from your files, and suddenly your sluggish document system becomes fast, scalable and surprisingly cheap to run. When I was tasked with modernizing our enterprise document ...

This directory contains complete planning documentation for a comprehensive Oracle LiveLabs workshop on document data modeling for Oracle JSON Collections, with critical focus on the Single Collection ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

For the purpose of this project, I decide to choose MongoDB platform for my nosql modelling of the data. MongoDB is an open-source database developed by MongoDB, Inc. MongoDB stores data in JSON-like ...

The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...