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OMB Individually Reported

Onboard Science Instrument Autonomy (OSIA) for OWLS

Low riskExact public inventory row

Description

Onboard biosignature detection for a suite of life-detection instruments (motility, fluorescence, metabolism indicators) and summarizing the data to overcome bandwidth constraints (e.g., at Enceladus or Europa).

Detailed example

Probability that the data contains a biosignature and a summarized/compressed version of the data (for transmission over interplanetary distances)

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

Algorithms successfully identified biosignatures during a field test at Mono Lake, CA and achieved compression ratios of 400-1600x on 3 instruments.

Controls / human review

ATO: Not reported; PIA: Not published

Source

OMB 2025 Federal Agency AI Use Case Inventory

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