Network anomaly detection is an important and dynamic research area. Many Network Intrusion Detection methods and Systems (NIDS) have been proposed in the literature. In this paper, the authors ...

Pico AI IP powered by Boon Logic and MicroEJ provides unsupervised machine learning at the Edge The endeavor brings ...

Intrusion Detection Systems (IDS) and anomaly detection techniques underpin modern cybersecurity by autonomously monitoring network activities and flagging deviations from normal behaviour. IDS are ...

Haiqu, a quantum software company, said it has demonstrated that today’s quantum computers could detect anomalies more ...

Data anomaly detection is 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. There are many different types of ...

Numenta, Inc., a leader in machine intelligence, launched the Numenta Anomaly Benchmark (NAB), an open-source benchmark and tool designed to help data researchers evaluate the effectiveness of ...

Time-series data represents one of the most challenging data types for businesses and data scientists. The data sets are often very big, change continuously, and are time-sensitive by nature. One ...

The US Army Analytics Group (AAG) provides analytical services for various organizational operations and functions, including cybersecurity. AAG signed a Cooperative Research and Development Agreement ...