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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 ...
A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact ...
Researchers say the advanced framework was built almost entirely by agents, marking a significant evolution in the use of AI ...
Attacks linked to APT and ransomware groups are relying on DLL sideloading for code execution instead of exploit-based ...
Identity-based attacks are one of the primary paths attackers use to breach corporate networks. Tenfold shows how Identity ...
Artificial intelligence is increasingly used as a tool in many health care settings, from writing physicians' notes to making ...
Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
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