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 ...

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 ...

Intrusion Detection Systems form a cornerstone of modern cybersecurity ... Cloud-native solutions for this use machine learning to analyse files, network traffic, and user behaviour without requiring ...

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

Abstract: Distributed Intrusion Detection Systems (DIDS) in resource-constrained edge environments have become increasingly important due to the development of the Industrial Internet of Things (IIoT) ...

Computer Science and Engineering Ph.D. student Nayan Bhatia demonstrates Pulse-Fi, technology that uses WiFi signals to measure a person's heart rate. Heart rate is one of the most basic and important ...

What if technology could bridge the gap between spoken language and sign language, empowering millions of people to communicate more seamlessly? With advancements in deep learning, this vision is no ...

Hertz and other agencies are increasingly relying on scanners that use high-res imaging and A.I. to flag even tiny blemishes, and customers aren’t happy. By Gabe Castro-Root The next time you rent a ...