This cluster of papers focuses on the application of machine learning and deep learning techniques to improve the accuracy and timeliness of earthquake early warning systems. It covers topics such as seismic signal classification, real-time seismology, convolutional neural networks for seismic phase picking, and the integration of citizen science in earthquake monitoring.