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 ...

IEEE research highlights multi-model databases outperform single-model systems, reducing AI costs, latency, and schema issues ...

Oracle announced a suite of agentic AI capabilities integrated directly into Oracle AI Database, enabling AI agents to securely access enterprise data where it already exists, rather than requiring ...

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.

SurrealDB Inc. today revealed that it has raised an additional $23 million in funding for its multimodel artificial intelligence-native database. The plan is to accelerate product maturity and ...

For R&D leaders evaluating AI investments, I’d offer one piece of advice: Before spending more on models, look hard at your ...

“Tabular data” is a broad term that encompasses structured data that generally fits into a specific row and column. It can be an SQL database, a spreadsheet, a .CSV file, etc. While there has been ...

SurrealDB, the ultimate multi-model database, is debuting the next iteration of its database solution, centered on further simplifying the lives of developers. SurrealDB 2.0 adds a series of new ...

A study on visual language models explores how shared semantic frameworks improve image–text understanding across multimodal tasks. By ...