Key market opportunities include increasing demand for AI-enabled detection, integration with smart-city systems, adoption of advanced detection algorithms, and miniaturization of detectors for ...

The development of disease surveillance and outbreak detection algorithms has become central to public health strategies worldwide. These systems integrate advanced statistical methods and ...

Security teams often spend days manually turning long incident reports and threat writeups into actionable detections by ...

Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning algorithms ...

An Iraqi-Canadian research team has created a new algorithm that can detect direction change in the line current of renewables-based microgrids. The novel approach can be applied to both grid-forming ...

AI-based security detection automates the analysis of large, complex data sets to uncover threats in real time. These systems not only flag potential risks but can also trigger automated response ...

WEST LAFAYETTE, Ind. — Patent-pending imaging technologies created in Purdue University’s College of Engineering could be developed and commercialized for applications as diverse as medical imaging, ...

Washington is the latest state to propose laws preventing the proliferation and manufacture of 3D-printed firearms.