Forget quantum — neuromorphic AI could be the real disruptor, reshaping everything from medicine to warfare while cutting ...

Software spending now makes up 40% of cybersecurity budgets, with investment expected to grow as CISOs prioritize real-time ...

Real-time Anomaly Detection: Monitors network traffic and identifies anomalies in real-time using machine learning. REST API: Provides a RESTful API for easy integration and real-time anomaly ...

The open-source platform from LF Networking could be a game changer for AI networking applications. Essedum is a specialized ...

Introduction: Recent advances in artificial intelligence have created opportunities for medical anomaly detection through multimodal learning frameworks. However, traditional systems struggle to ...

Several significant research studies related to Preventing Phishing Attacks for Cyber Threat Mitigation have been reviewed ...

Machine learning techniques enable the development of anomaly detection algorithms that are non-parametric, adaptive to changes in the characteristics of normal behaviour in the relevant network, and ...

ADRepository: Real-world anomaly detection datasets In this repository, we provide a continuously updated collection of popular real-world datasets used for anomaly detection in the literature. Some ...

It was also used for unsupervised sound anomaly detection to detect unknown abnormal sounds without abnormal sound training data (19). Recently, the autoencoder has been increasingly investigated in ...