Endpoint Detection

Endpoint detection focuses on accurately identifying the start and end points of events, such as speech segments in audio or cyberattacks in system logs. Current research emphasizes improving the speed and accuracy of detection, particularly using machine learning techniques like large language models and deep neural networks, often incorporating clustering and fast search algorithms to handle high-volume data streams. These advancements are crucial for applications ranging from enhancing cybersecurity systems and improving the efficiency of voice-activated devices to optimizing the performance of deep learning models deployed on resource-constrained edge devices.