AI company Anthropic is testing a previously undisclosed AI model called Mythos that is significantly more capable than ...

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 ...

AI systems fail because of a context gap—when decisions rely on incomplete, inconsistent and outdated data across systems.

MongoDB Inc. is making its play for the hearts and minds of artificial intelligence developers and entrepreneurs with today’s announcement of a series of new capabilities designed to help developers ...

Slator’s Data-for-AI Market Report identifies this shift as a structural change in the AI value chain, where competitive ...

Open-source database startup SurrealDB Inc. said today it has closed on a $20 million funding investment that will fund its ambitions to disrupt the big data industry. The round, led by FirstMark and ...

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 ...

How AI foundation models trained on DNA could transform plant biology ...

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 ...

How to Improve Cancer Patients ENrollment in Clinical Trials From rEal-Life Databases Using the Observational Medical Outcomes Partnership Oncology Extension: Results of the PENELOPE Initiative in ...