The vector database market is experiencing rapid growth, with projections estimating it will reach $10.6 billion by 2032, ...

A new study in Engineering introduces ERQA, a medical knowledge retrieval and QA framework driven by an enhanced large language model. It integrates ...

Bring AI to your database! Learn how to build smarter apps with vector search in SQL Server & Azure Cosmos DB -- no extra AI ...

Open source in-process OLAP system launches rival to Iceberg and Delta Lake table format, and more With a combined market ...

What would you do if you were running a 10K road race, struggling to get up a tough hill, and suddenly the rules of the race ...

Chen, J. Y., Xu, Z. and Zhang, T. (2025) A Study of Chinese Language Morphemes in the Perspective of Second Language Acquisition (1998-2024) —Based on Bibliometric Analysis. Open Journal of Social ...

Amazon Web Services (AWS) strives to deliver reliable services that customers can trust completely. This requires maintaining ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...

In fragmented data landscapes, a unified catalog is essential for data discovery, understanding, and governance. Historically ...

To improve how businesses use unstructured data, leaders should follow a series of steps that begin by addressing ...

Experts from Informatica joined DBTA's webinar, Emerging Data Management Foundations for AI Agent Success, to assess the implications that adopting AI agents has on data infrastructure, offering best ...