AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: ...

In the MCP era, there is no "expected behavior" to deviate from. Every workflow is unique. Every sequence of tool calls is ...

Oracle has said it might consider letting customers bring their own hardware to Oracle data centers. During last week's ...

The company's Starcloud-1 satellite is running Gemma, an open model from Google, marking the first time in history that an ...

An unsecured database exposed 4.3 billion LinkedIn-derived records, enabling large-scale phishing and identity-based attacks.

ManureDB, a publicly available database, houses U.S. manure and organic amendment data from multiple laboratory sources. The ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Purdue University’s six-month Professional Certificate in Data Science and Generative AI is available online through ...

Cloud database company Couchbase Inc. said today it’s trying to reduce the complexity of agentic application development with ...

A new article published in the Journal of Dental Research explores the development of an integrated data-cleaning and subtype ...