A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: ...

Learn how to organize and structure your machine learning projects for real-world deployment. From directory layout to model versioning, data pipelines, and CI/CD integration — this guide will help ...

Development and Validation of an Ipsilateral Breast Tumor Recurrence Risk Estimation Tool Incorporating Real-World Data and Evidence From Meta-Analyses: A Retrospective Multicenter Cohort Study Data ...

A novel malware family named LameHug is using a large language model (LLM) to generate commands to be executed on compromised Windows systems. LameHug was discovered by Ukraine’s national cyber ...

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. Konfety poses as a legitimate ...

In what might well be a portent of things to come, researchers have discovered the first known malware sample in the wild that attempts to evade AI-powered security tools by essentially prompting them ...

Cybercriminals are constantly finding new ways to steal your data. As people become more aware of common threats like phishing links, fake websites, fraudulent emails and impersonation scams, ...

Scientists have recently detailed how automation and machine learning can aid clinicians treating patients with spreading depolarizations, sometimes referred to as 'brain tsunamis.' A University of ...

Abstract: Malicious software, referred to as malware, continues to grow in sophistication. Past proposals for malware detection have primarily focused on software-based detectors which are vulnerable ...