Artificial intelligence (AI) and machine learning (ML) are predicted to have a significant impact on future industrial ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

Abstract: An intrusion detection system (IDS) plays a crucial role in network security by distinguishing hostile activities from network traffic. Conventional hardware-based IDS architectures have ...

This project implements an Intrusion Detection System using machine learning algorithms to detect malicious network activities. It analyzes network traffic patterns, packet headers, and flow data to ...

Distributed Cyber-Immune Mesh for Legacy Infrastructure Protection Using Adaptive AI Sentinels Note: This README is an ultra-condensed summary of the research reports published by Unpatentable.org. To ...

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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 ...

Abstract: Network Intrusion Detection Systems (NIDS) are widely used to secure modern networks, but deploying accurate and scalable Machine Learning (ML)-based detection in high-speed environments ...

On June 29, 2025, a child aboard a Disney Cruise Line ship fell overboard from the walking track found on deck four. Her father dove into the water to save her immediately after, prompting the ship's ...