A new method for measuring three different properties of light, at the same time, has been developed using an ...

Recent archaeological explorations near the Giza pyramids in Egypt have unearthed a series of astonishing discoveries that ...

With cyberattacks becoming increasingly frequent, is the DeFi industry adequately prepared to combat these rising threats?

Fewer than 15% of companies use AI for supplier monitoring, anomaly detection, or geopolitical tracking, the very risks now driving adoption. At the same time, economic pressure is amplifying the ...

AI and Machine Learning can predict transformer faults by analyzing dissolved gas data, thermal patterns, and vibration ...

The electrification of transport is transforming not only how vehicles operate but how energy systems are managed. Modern EV ...

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

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 ...

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 .

Researchers from the University of Eastern Finland and Aalto University have developed a computational framework called ...

Vinoth Manamala Sudhakar exemplifies excellence in data science leadership through his technical expertise, business focus, ...

Introduction In the rapidly evolving cyber-threat landscape, traditional signature-based defences are no longer sufficient. Threat actors increasingly use stealth, lateral movement, encrypted channels ...