Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the human-scale queries enterprise data stacks were built for.

South Korea's evolving privacy framework pushes data-use boundaries by operationalizing pseudonymization for AI development.

Zero Trust is no longer a future aspiration. As organisations adopt cloud, hybrid work and AI at scale, trust is becoming ...

For many UK SMEs, supply chain resilience is not a specialist security project. It is a business continuity issue. If a key supplier cannot deliver, a software provider has an outage, or a partner ...

Blockchains are going private. The only question left is what kind of privacy the industry will build, argues Schiller..

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

Programmers learning Rust struggle to understand own\x02ership types, Rust’s core mechanism for ensuring memory safety ...

Google unveiled Deep Research and Deep Research Max, new Gemini 3.1 Pro-powered AI agents that combine web search, ...

A lot of companies think they have an AI problem. What they really have is a coherence problem across operating model, architecture, and capital allocation.

You will work with the Senior Data Investigator to help develop the core database underpinning the project’s public-facing ...

Learn prompt engineering with this practical cheat sheet covering frameworks, techniques, and tips to get more accurate and ...

In testing robotic systems, developers can fail and learn, as long as they control risk, explains Bullen Ultrasonics' ...