New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...

DuckDB has recently introduced end-to-end interaction with Iceberg REST Catalogs directly within a browser tab, requiring no ...

AWS recently announced the new Graviton5 processor and the preview of the first EC2 instances running on it, the ...

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

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

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 ...

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 ...