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Detection of concealed explosives using terahertz spectral imaging and deep learning

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...

Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
SecurityWeek

Cyber Insights 2026: Threat Hunting in an Age of Automation and AI

Understanding how threat hunting differs from reactive security provides a deeper understanding of the role, while hinting at how it will evolve in the future.

Android Malware Detected Using Machine Learning to Automatically Detect and Click on Ads

The malware can switch to a signalling mode that allows attackers to manually scroll and tap through a live stream of the virtual screen.