Advanced sensor technologies and data analytics can proactively identify grid hazards, enhancing safety and operational ...

In order to meet this challenge, organizations must redefine DevSecOps not simply as "shift-left security" but as trust-layer ...

This AI-driven intrusion detection system integrates blockchain and federated learning, ensuring robust security for 6G ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

AI-driven tools are seen to strengthened cybersecurity defenses through various ways such as anomaly detection, predictive analytics, and automated incident response, the same technologies are also ...

The Internet of Things represents a shift in the architecture of our digital world, embedding computational intelligence into ...

The takeaway: The new system positions YouTube among the first major online platforms to embed large-scale identity-protection capabilities directly into its content moderation tools. The feature ...

KENWOOD HIGH SCHOOL. TONIGHT. THAT STUDENT AND HIS FAMILY SAID THAT THEY’RE UPSET ABOUT THE INCIDENT. HE TOLD ME THAT HE HAD JUST FINISHED EATING A BAG OF CHIPS. HE CRUMPLED UP THE BAG, PUT IT IN HIS ...

Abstract: The increasing application of the Internet of Things (IoT) has raised significant security concerns, particularly at the Edge of Things (EoT). Traditional Intrusion Detection Systems (IDS) ...

Background: Eczema and psoriasis are common chronic dermatoses with overlapping features, making early differential diagnosis difficult. While biopsy is the gold standard, its invasiveness and ...

A new startup launched out of stealth Thursday to help health systems purchase the best value artificial intelligence for their patients and solve the persistent issue of commercialization for AI ...