Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
An innovative and scalable proximity labelling method profiled proteins present in the Caenorhabditis elegans brain during learning, identifying known regulators as well as novel biological pathways.
A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact ...
AI-powered attacks are evading EDR via steganography, AV abuse, and automation, forcing a shift toward combined NDR and EDR ...
Great White Approaches From Deep Clear Water our mission White Shark Ocean are a passionate group of shark enthusiasts with a wide range of skills that have come together to give a glimpse into the ...
Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
The malware can switch to a signalling mode that allows attackers to manually scroll and tap through a live stream of the virtual screen.