Researchers have successfully trained a new AI foundation model capable of predicting medical conditions using Apple Watch data.

Discover how AI-driven anomaly detection safeguards post-quantum context streams in Model Context Protocol (MCP) environments, ensuring robust security for AI infrastructure against future threats.

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.

The study provides a roadmap for modernizing emergency response infrastructure. In large-scale disasters, time is the most ...

First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...

Coalition efforts and AI tech blocked 63 million illegal wildlife listings, scaling detection and reporting to fight online ...

Scientists Tested the '5-Second Rule' for Dropped Food—Here’s What They Found Why does Bermuda appear to float? Scientists' discovery may be the answer ...

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

The first train has been retrofitted and is being tested before re-entering service in June 2026. Read more at ...

Cloud bills rising? Here's how AI-powered rightsizing, predictive autoscaling and real-time anomaly detection can lower spend ...

A new turbo-diesel 6.7-liter Cummins six-cylinder engine gives the Power Wagon over 1,000 pounds-feet of torque, more than ...