Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.

Data collected under the Death in Custody Reporting Act has some serious problems. Here’s how we fixed some of them.

Worse, the most recent CERN implementation of the FPGA-Based Level-1 Trigger planned for the 2026-2036 decade is a 650 kW system containing an incredibly high number of transistor, 20 trillion in all, ...

What opportunities emerged for small media? How did publishers try to convince young audiences to pay for news? How was ...

With hype around automation and robotisation at fever pitch, many argue that we will soon see mass labour disappear altogether. Sociologist Antonio Casilli begs to differ. Work is not disappearing, he ...

Pinterest published a technical case study detailing how its engineering team cut Android end-to-end (E2E) continuous integration (CI) build times by more than 36 percent by adopting a runtime-aware ...

Behind the Facts 2025: Lessons of resilience and innovation from the frontlines of fact-checking The year has been particularly turbulent for those working to uphold information integrity, as powerful ...

Residents of Brandon will benefit from improved flood protection and new public greenspace thanks to a $1 million investment from the federal government. The project will create a 10-acre naturalized ...

Now in its ninth year, our annual poll showcases 255 vital video essays, nominated by 72 international voters.

Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.