The rise of AI in audit is unavoidable. This analysis explores the ethical risks of bias, the regulatory need for Explainable ...
Wireless sensor networks are evolving with AI and advanced protocols, enabling autonomous data collection and real-time ...
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
Jimmy Joseph, senior solutions engineer at a Fortune 500 healthcare company, received a 2025 Global Recognition Award for ...
The electrification of transport is transforming not only how vehicles operate but how energy systems are managed. Modern EV ...
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 ...
Enterprise architect and innovator Prince Kumar bridges AI-driven data governance with patented predictive healthcare systems, creating a new paradigm for proactive pandemic prevention and global ...
Despite differing regulatory philosophies, all regions recognize AI’s value in transactional transparency, anomaly detection, and early fraud prevention. The study identifies a clear shift from manual ...
Revolutionizing Diagnostic PrecisionThe global AI in ultrasound imaging market is poised for impressive growth, projected to expand at a CAGR of around 22% over the next five years. This surge is ...
Abstract: Log analysis, especially log anomaly detection, can help debug systems and analyze root causes to provide reliable services. Deep learning is a promising technology for log anomaly detection ...
Abstract: The current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities ...
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