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

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

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 ...

Hallucinations, as the AI industry calls plausible but false statements generated by large language models like ChatGPT and ...

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

Realsee3D is a large-scale multi-view RGB-D dataset designed to advance research in indoor 3D perception, reconstruction, and ...

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

AI is saving people thousands by replacing costly software and automating tasks that reduce everyday expenses.

Obsessing over model version matters less than workflow.

CRUD (Create, Read, Update, Delete) is the standard vocabulary of most applications. But it is a technical vocabulary, not a ...

Amazon Q Developer is a useful AI-powered coding assistant with chat, CLI, Model Context Protocol and agent support, and AWS ...