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OMB Individually Reported

Machine Learning approach to predict the composition of seafloor massive sulfide deposits [2024 INV#WO0000000108420]

Low riskExact public inventory row

Description

predict the composition of seafloor massive sulfide deposits

Detailed example

publications

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

b) Pilot – The use case has been deployed in a limited test or pilot capacity.

Expected benefit

time and cost savings

Controls / human review

ATO: No; PIA: Not published

Data needed

geochemical data

Source

OMB 2025 Federal Agency AI Use Case Inventory

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