Artificial intelligence is making new breakthroughs in scientific research and disaster prevention and mitigation. Recently, as the 2026 "New Journey: A Look at Emergency Response" interview tour visited the National Key Laboratory of Earthquake Dynamics and Strong Earthquake Prediction, a domestically developed seismic large model capable of listening to the Earth's "heartbeat"—"Diting"—officially came into public view.
Pooling Massive Data: Delivering Ultra-Fast Major Earthquake Reports via a Single Station
As a large model specialized in the seismic field, "Diting" has already successfully assembled a high-quality dataset of more than 20 million entries.
In current practical applications, Diting's core functions mainly focus on earthquake monitoring and rapid reporting of major earthquakes. To meet the urgent need of some cutting-edge high-tech enterprises to quickly obtain information about seismic events, Diting has demonstrated a unique technical advantage: it can provide seismic information extremely quickly by relying on just a single station. Although there is a certain margin of error in accuracy, its response speed is significantly faster than conventional earthquake bulletins, giving relevant enterprises a valuable time window for emergency response.
Targeting Long-Term Research: Mining Deep Signals to Empower Prediction and Forecasting
In addition to meeting current emergency rapid-reporting needs, the Diting R&D team has a more far-reaching strategic plan for the future.
According to the project team, the project's long-term goal is not limited to rapid notification of events. Instead, it aims to use AI's powerful computing power and pattern recognition capabilities to dig deep into the complex physical signals hidden behind seismic activity, thereby providing solid data support and technological empowerment for future earthquake prediction and forecasting as well as related basic scientific research.
