Event Detection is the process of identifying occurrences of specific activities, anomalies, or state changes within a data stream, such as sensor readings, video feeds, network traffic, or text. It is used across domains, including computer vision, natural language processing, cybersecurity, and fiber-optic sensing. Techniques range from threshold-based methods to machine learning models that classify or localize events in time and space, often in real time and under constraints of low latency or limited labeled data.

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Ezra Ip Presents at CLEO 2026 in Charlotte, NC on May 18th

Senior Researcher Ezra Ip has been invited to present Sensors Based on Forward Transmission using the Telecom Infrastructure at CLEO 2026 in Charlotte, NC, on Monday, May 18th, from 5:30-6:00pm. He explores a compelling frontier: using existing telecom networks as environmental sensors.