Some NoSQL databases focus on speed, some on scale, while others aim at relationships or offline use. The right choice depends on how your ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

We are currently witnessing a mobilization of technical ambition reminiscent of the Manhattan Project, a realization that data and compute are the new defining elements of national power. I am deeply ...

Currently, third-party AI models are only available in Generative Fill inside Photoshop. Third-party models are available by ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Nvidia expands its open AI strategy with Nemotron 3 and the SchedMD acquisition, aiming to scale AI development, cut costs, ...

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, ...

As the integration of Large Language Models (LLMs) into scientific R&D accelerates, the associated privacy risks become increasingly critical. Scientific NoSQL repositories, which often store ...