AI use-case explorer

AI use cases

Search and filter every reported use case. Open a record for the agency's full description, governance answers and source provenance.

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Use case	Agency	Stage	High-impact	Topic area	AI classification	Sourcing
AEGIS: Autonomous Exploration for Gathering Increased Science NASA-214 · JPL: Jet Propulsion Laboratory	NASA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
CLASP Coverage Planning & Scheduling NASA-221 · JPL: Jet Propulsion Laboratory	NASA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Enhanced AutoNav for Perseverance Rover on Mars NASA-225 · JPL: Jet Propulsion Laboratory	NASA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
MLNav (Machine Learning Navigation) NASA-234 · JPL: Jet Propulsion Laboratory	NASA	Deployed	Presumed high-impact, determined not	Science	Classical / predictive ML	Developed in-house
Perseverance Rover on Mars - Terrain Relative Navigation NASA-237 · JPL: Jet Propulsion Laboratory	NASA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
SensorWeb: Volcano, Flood, Wildfire, and others. NASA-451 · JPL: Jet Propulsion Laboratory	NASA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Global, Seasonal Mars Frost Maps NASA-708 · JPL: Jet Propulsion Laboratory	NASA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Near-real-time aerosol retrievals from OMPS Limb Profiler measurements NASA-848 · GSFC: Goddard Space Flight Center	NASA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Retrieving stratospheric water vapor from OMPS Limb Profiler measurements NASA-849 · GSFC: Goddard Space Flight Center	NASA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Application of ML to Detection of Anomalies in Spacecraft Health and Status Data NASA-854 · GSFC: Goddard Space Flight Center	NASA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Dirty Vacuum rated 6-Axis Robotic Arm Toolpathing NASA-928 · MSFC: Marshall Space Flight Center	NASA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Lineage Assignment by Extended Learning (LABEL) R0717 · HHS/CDC	HHS	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
CDER Regulatory Science Research (RSR) Projects AI for Process Control in Advanced Manufacturing R0837 · HHS/FDA/CDER	HHS	Deployed	Presumed high-impact, determined not	Science	Classical / predictive ML	Developed in-house
Alphafold R0956 · HHS/NIH	HHS	Deployed	Not high-impact	Science	Classical / predictive ML	Purchased from vendor
CryoSPARC R0960 · HHS/NIH	HHS	Deployed	Not high-impact	Science	Classical / predictive ML	Purchased from vendor
ModelAngelo R0966 · HHS/NIH	HHS	Deployed	Not high-impact	Science	Classical / predictive ML	Purchased from vendor
Pangolin Lineage Classification of SARS-CoV-2 Genome Sequences R0968 · HHS/NIH	HHS	Deployed	Not high-impact	Science	Classical / predictive ML	Purchased from vendor
TB DEPOT (Tuberculosis Data Exploration Portal) R0974 · HHS/NIH	HHS	Deployed	Not high-impact	Science	Classical / predictive ML	Contract and in-house
TreeMap and FuelMap (all versions) USDA-018 · Natural Resources and Environment	USDA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Landscape Change Monitoring System (LCMS) USDA-019 · Natural Resources and Environment	USDA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Cropland Data Layer USDA-022 · Research, Education and Economics	USDA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
DISTRIB-II: Habitat Suitability of Eastern United States Tree USDA-051 · Natural Resources and Environment	USDA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
The Big Data, Mapping, and Analytics Platform (BIGMAP) Project USDA-079 · Natural Resources and Environment	USDA	Deployed	Not high-impact	Science	Classical / predictive ML	Contract and in-house
Esri ArcGIS Pro Deep Learning Modules USDA-091 · Natural Resources and Environment	USDA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Streamflow Duration Assessment Modeling 25 · OW	EPA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Living Literature Review: Semi-automated Literature Screening 76 · OAR	EPA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Automated Walrus Haulout Monitoring [2024 INV#WO0000000110052] DOI-0247 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
PAWSC Ecotoxicology PFAS Machine Learning [2024 INV#WO0000000112908] DOI-0238 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Delineating sub-surface drainage using satellite imagery [2024 INV#WO0000000109525] DOI-0230 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Oil Spill Response for Ice-Covered Rivers [2024 INV#WO0000000109142] DOI-0208 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Pacific Northwest Stream Flow Permanence [2024 INV#WO0000000109137] DOI-0207 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Climate Futures for Lizards and Snakes in Western North America [2024 INV#WO0000000109092] DOI-0201 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Using Machine Learning in USGS StreamStats to make suspended sediment and bedload predictions [2024 INV#WO0000000107977] DOI-0176 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Rangeland Condition Monitoring Assessment and Projection (RCMAP) [2024 INV#WO0000000107126] DOI-0171 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
use of random forest for species distribution modeling DOI-0161 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
PRObability of Streamflow PERmanence (PROSPER models) [2024 INV#WO0000000109074] DOI-0156 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Machine Learning for automatic fracture mapping and rock identification [2024 INV#WO0000000109499] DOI-0155 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Machine Learning for Avalanche Frequency Modeling DOI-0148 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Deep?learning Integrations into NEIC Operations [2024 INV#WO0000000109496] DOI-0119 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
USGS Flow Photo Explorer [2024 INV#WO0000000109196] DOI-0117 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Contract and in-house
Coastal Change Likelihood: Synthesizing change factors using supervised learning DOI-0115 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Purchased from vendor
Predicting post-fire tree mortality DOI-0100 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Global food-and-water security-support analysis data (GFSAD) project [2024 INV#WO0000000107073] DOI-0095 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Frog vocalization recognition from digital recordings DOI-0092 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Patterns in the Landscape – Analyses of Cause and Effect DOI-0090 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Estimates of Habitat Suitability of Reed Canarygrass (Phalaris arundinacea) in Upper Mississippi River Floodplain Forest Understories DOI-0084 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Submersed Aquatic Vegetation Vulnerability Evaluation Application (SAVVEA) DOI-0081 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
LANDFIRE DOI-0069 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Invasive Grass Mapping DOI-0068 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Evapotranspiration mapping and monitoring DOI-0067 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house