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OMB Individually Reported

Machine Learning of Ocean Worlds Laboratory Analog Seawater Volatiles

Low riskExact public inventory row

Description

This work focuses on algorithm-development for software that can predict the composition of an ocean using mass spectra of volatile gases analyzed.

Detailed example

composition of an ocean

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

a) Pre-deployment – The use case is in a development or acquisition status.

Expected benefit

Development specific for ocean worlds exploration (e.g., Europa / Enceladus), but applicable for Earth.

Controls / human review

ATO: Not reported; PIA: Not published

Source

OMB 2025 Federal Agency AI Use Case Inventory

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