The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
Haiqu, a quantum software company, said it has demonstrated that today’s quantum computers could detect anomalies more ...
AI and Machine Learning can predict transformer faults by analyzing dissolved gas data, thermal patterns, and vibration ...
Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...
In a world that's growing more digital and interconnected by the day, fraud has taken on new dimensions, often dealing crippling blows to business. From online transactions to sensitive data ...
The rise of AI in audit is unavoidable. This analysis explores the ethical risks of bias, the regulatory need for Explainable AI (XAI).
AZoRobotics on MSN
AI-Powered Blockchain Model Defends 6G Networks From Cyberattacks With 97 % Accuracy
This AI-driven intrusion detection system integrates blockchain and federated learning, ensuring robust security for 6G ...
Argonne’s machine learning model is equipped to analyze data from 31 sensors at its Mechanisms Engineering Test Loop (METL) facility, measuring variables like fluid temperatures, pressures and flow ...
Artificial intelligence has become the defining frontier of modern finance. From generative models that accelerate document ...
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