OMB Individually Reported
Deep?learning Integrations into NEIC Operations [2024 INV#WO0000000109496]
Low riskExact public inventory row
Description
The AI model improves the rapid detection of earthquakes.
Detailed example
The algorithms predicts the type of seismic phases detected, the distance the earthquake is from the receiver, and improves the event detection time.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Reduces the time analysts need to work on poorly located or incorrect earthquake detections.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Models were trained on public seismic data. Training data set was published and is available.