Cyber threat detection is a critical component of modern cybersecurity systems. Traditional signature-based detection methods are ineffective against zero-day attacks and advanced persistent threats.

This project predicts gender (male/female) from voice features using a machine learning model and provides a Streamlit web app for prediction. There was an error ...

Researchers have for the first time virtually unwrapped and read an entire sealed Herculaneum papyrus scroll, carbonized ...

Img wp-post-image alt= decoding=async loading=lazy srcset= 800w, 480w sizes=(max-width: 800px) 100vw, 800px />A Thompson ...

The Intelligence Community Studies Board of the National Academies of Sciences, Engineering, and Medicine will convene a workshop on December 11-12, 2018 to provide the Intelligence Community (IC) ...

Abstract: In this paper we present a intrusion detection module capable of detecting malicious network traffic in a SCADA (Supervisory Control and Data Acquisition) system. Malicious data in a SCADA ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Five students partnered with Dr. Ahmad Ghafarian, a UNG professor of computer science and cybersecurity, on the application ...

NuML Studio is optimized for Windows and provides a "ready-to-use" version that does not require users to install Python or ...

Using AI and Australia's supercomputing infrastructure, researchers mapped 94 million craters on Mars, transforming planetary ...

Abstract: The fast acceptance of cloud computing has exacerbated the intricacy and vulnerability of network infrastructures, giving them attractive targets for modern assaults. Routine intrusion ...