Investigations into the Nx "s1ngularity" NPM supply chain attack have unveiled a massive fallout, with thousands of account ...

The current dynamic innovation, research, and development in the fields of Artificial Intelligence (AI), Ultra-Smart ...

Yes, it still makes plenty of mistakes, but it has become part of the job for many.

Recently, some computer scientists have started exploring the possibility of modeling feature learning in DNNs using frameworks and approaches rooted in physics.

Microsoft unveils Project Ire, an autonomous AI system that reverse-engineers software to detect and block malware without human input.

Traditional intrusion detection systems (IDS) often face difficulties in identifying these new and evolving threats since they rely on pre-established attack patterns or signatures. This study aims to ...

A new variant of the Konfety Android malware emerged with a malformed ZIP structure along with other obfuscation methods that allow it to evade analysis and detection.

Liquid biopsy encompasses a variety of molecular approaches to detect circulating tumor DNA (ctDNA) and has become a powerful tool in the diagnosis and treatment of solid tumors. Current applications ...

Our evaluation using a real radiotherapy treatment plan dataset shows that the autoencoder-based detection algorithm can achieve an AUC value of 0.9985, which is a maximum improvement of 41.77%, ...

Most machine learning-based malware detection systems use various supervised learning methods to classify different instances of software as benign or malicious. This approach provides no information ...