Manufacturers are advancing AI-powered initiatives to gain efficiencies, especially around maintenance, quality and energy ...

The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...

Artificial intelligence has become the defining frontier of modern finance. From generative models that accelerate document ...

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

In this piece, Wireless Network Strategist Suyash Rai details areas in which AI is making a difference to telecoms.

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 ...

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

Feed, a leading market data solutions and index management provider for the global financial industry, is proud to announce that its AI-powered anomaly detection solution, dxFeed Grenadier, has been ...

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 ...

AI-driven automation is transforming cloud security by detecting anomalies in real time, and enabling intelligent threat response.

AI, intent-based networking and automation will set the foundation for next-generation fully autonomous networks.