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 ...

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 ...

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, ...

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

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 ...

The broader shift is toward forecasting rather than reacting. Instead of detecting disease only after it crosses a threshold, systems will track trends that indicate future risk. The value of next ...