IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

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 .

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 ...

SpeakUp's Nick Zhuchkov explains how attention now moves through a network of algorithms that reward clarity and consistency ...