ORCA Computing Collaborates with ST Engineering to Explore Quantum Technology for Advancing Cybersecurity

ORCA Computing, a leading quantum computing company, today announced a collaboration with ST Engineering to advance ...
Devdiscourse

Fast and Accurate Water Leak Detection in Distribution Networks Using Deep Anomaly Models

Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...
Electronic Design

Explainable AI for Anomaly Detection

What is explainable AI (XAI)? What are some of the use cases for XAI? What are the technology requirements for implementing XAI? Anomaly detection is the process of identifying when something deviates ...
Daily FT

AI-enabled threat detection for Blockchain attacks

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
Outlookindia

Why Is ML-Driven Anomaly Detection Important for Preventing Malicious Signature Requests?

The most important challenge to the security of blockchains remains the protection of users from malicious signature requests as the adoption of cryptocurrencies goes on to gain even more momentum. A ...