Seoul National University College of Engineering announced that a research team led by Professor Hyun Oh Song from the Department of Computer Science ...

Background Antiphospholipid syndrome (APS) is a systemic autoimmune disease characterised by thrombosis, pregnancy ...

By: Johan Potgieter - Cluster Industrial Software Lead at Schneider Electric Imagine walking into a factory where machines can think ahead, predict problems before it happens, and automatically make ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

The Journal of Operational Risk, as the leading publication in this area, aims to be at the forefront of OpRisk discussions and we welcome papers that shed light on all of the above topics.

AI-driven tools are seen to strengthened cybersecurity defenses through various ways such as anomaly detection, predictive analytics, and automated incident response, the same technologies are also ...

This AI-driven intrusion detection system integrates blockchain and federated learning, ensuring robust security for 6G ...

The innovative AFM file format enhances compatibility with structural biology, enabling detailed quantitative analysis and integration into existing workflows.