Enterprises deploy machine learning within SAP and cloud pipelines to catch data errors instantly and boost efficiency ...
The Northeast Frontier Railway (NFR) and IIT Guwahati unveil DRISHTI, an AI-based surveillance system designed to improve ...
The Chosun Ilbo on MSN
LG Chem Leverages AI, Drones for Anomaly Detection
LG Chem is accelerating efforts to enhance customer value by pursuing an "Artificial Intelligence Transformation (AX)" across ...
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 ...
This DIY AI Health Assistant Trained with Edge Impulse, the Edge ML model detects real-time anomalies in SpO₂ and heart rate, ...
Explore how Indian telecom operators can leverage generative AI to enhance operations, improve efficiency, and drive revenue ...
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 ...
Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
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 ...
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 .
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