Part 5/10:
From Laboratory Insights to Earth-Scale Predictions
The initial breakthrough came when scientists realized they could use machine learning to identify signals within laboratory noise that predicted when the next earthquake would occur within their experiments. This was astonishing: algorithms trained on known data could forecast the timing of an event with remarkable accuracy, challenging long-held assumptions.