Homeland Security Today

The Architecture of AI Exposure: How Institutions Misclassify Risk

This article builds directly on the foundation established in Part I. As agencies integrate inferential systems into ...
Devdiscourse

How AI is reshaping UAV cybersecurity and where it falls short

The study, titled Artificial Intelligence Methods for Unmanned Aerial Vehicles Cybersecurity: A Comprehensive Survey and ...
Microsoft

Operating systems (OS) explained

Imagine turning on your PC and…nothing happens. No desktop, no icons, no apps. That’s what life would look like without an operating system (OS), the invisible star of every computer. An operating ...
IEEE

An Explainable Hybrid Deep Learning Framework for Network Intrusion Detection Using Feature-Guided CNN Models

Abstract: Cybersecurity risks have evolved in the linked digital terrain of today into more complex, frequent, and varied forms. Conventional intrusion detection systems sometimes find it difficult to ...
Nature

Fire Detection Systems Using Deep Learning Approaches

The advent of deep learning has transformed fire detection, enabling rapid and accurate identification of flames and smoke across diverse environments. Convolutional neural networks (CNNs) lie at the ...
IEEE

Applying Machine Learning Combined with Dimensionality Reduction to Enhance Intrusion Detection Systems

Abstract: An intrusion detection system (IDS) is a system designed to detect potential intrusion activities, such as malicious activities, computer attacks, or the spread of viruses, and then inform ...
MLB

Everything you need to know about the new ABS Challenge System

At long last, player protest with ball or strike calls can be handled with something other than ineffectual arguing. Beginning with the 2026 MLB season, players will have the power to appeal the ...