Ensuring security and identifying fraudulent activity have become critical concerns in an era where financial transactions are increasingly conducted digitally. There is a need to enhance the efficacy ...

Start with the basics: get a handle on what AI is, why it matters, and how it’s used in the real world. Make a plan: figure ...

A study published in PeerJ Computer Science reveals significant accuracy-bias trade-offs in artificial intelligence text detection tools that could disproportionately impact non-native English ...

With the booming of large-scale network devices, anomaly detection on multivariate time series (MTS), such as a combination of CPU utilization, average response time, and network packet loss, is ...

Here, we run the anomaly detection algorithm we already implemented on a more realistic and much harder dataset. In this dataset, each example is described by 11 features, capturing many more ...

This is a tutorial book on reinforcement learning, with explanation of theory and Python implementation. Theory: Starting from a uniform mathematical framework, this book derives the theory and ...