Moreover, LLMs are inference machines that rapidly adapt to infer sensitive details, such as your political leanings, health status, or location, from seemingly harmless input. You might ask for a ...

There are lots of interesting blockchain developments in digital marketing, but no one's made a big breakthrough – at least, ...

When we prompted multiple AI models on why they lie, the first thing they wanted to do was differentiate lies from ...

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 ...

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

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

Abstract: Big data applications such as Artificial Intelligence (AI) and Internet of Things (IoT) have in recent years been leading to many technological breakthroughs in system modeling. However, ...

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

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

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

The A to Z of over 100 electric vehicles on the market in terms of price, range and the EV's ability to provide external ...