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
Design Optimization of Turbomachinery Rotor Blades using Neural Network Surrogate Models NASA-526 · GRC: Glenn Research Center	NASA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Implement machine learning in NMIS to assist with mishap coding NASA-545 · OSMA: Office of the Chief Safety & Mission Assurance	NASA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Adaptive Problem Solving / Hyperparameter Optimization NASA-809 · JPL: Jet Propulsion Laboratory	NASA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Time Series Forecasting, Evaluation and Deployment (Time-FED) NASA-814 · JPL: Jet Propulsion Laboratory	NASA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
AI Risk-aware task and motion planning for snake-like robots in icy enviroments NASA-815 · JPL: Jet Propulsion Laboratory	NASA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Retrieving stratospheric NO2 profiles from OMPS Limb Profiler measurements NASA-850 · GSFC: Goddard Space Flight Center	NASA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Quantification of Uncertainty Analysis Toolkit (QUAnT) NASA-861 · GSFC: Goddard Space Flight Center	NASA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Cloud Account Allocation Plan (CAAP) Cost Analytics Support NASA-901 · GSFC: Goddard Space Flight Center	NASA	Pilot	Not high-impact	Administrative Functions	Classical / predictive ML	Contract and in-house
Variable Optimization FRB-0010 · Division of Supervision and Regulation	FRB	Pilot	Not high-impact	Other	Classical / predictive ML	Developed in-house
Decision Tree for Deposits Data FRB-0029 · Division of Supervision and Regulation	FRB	Pilot	Not high-impact	Other	Classical / predictive ML	Developed in-house
Novel Activities Call Report Classification FRB-0031 · Division of Supervision and Regulation	FRB	Pilot	Not high-impact	Other	Classical / predictive ML	Developed in-house
Risk Rating Model FRB-0050 · Division of Supervision and Regulation	FRB	Pilot	Not high-impact	Other	Classical / predictive ML	Developed in-house
Autocoding to Support Adverse Drug Event Surveillance R0662 · HHS/CDC	HHS	Pilot	Not high-impact	Administrative Functions	Classical / predictive ML	Developed in-house
Distiller SR: AI to screen research articles for Community Guide reviews R0665 · HHS/CDC	HHS	Pilot	Not high-impact	Administrative Functions	Classical / predictive ML	Developed in-house
Determining if multiple isolates share the same antimicrobial resistant plasmids using short read whole genome sequencing data R0703 · HHS/CDC	HHS	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Enhancing influenza A risk assessment rubrics: leveraging predictive correlates and machine learning from in vivo experiments. R0718 · HHS/CDC	HHS	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Integrated Data Repository (IDR) Customer Analytic Environment (CAE) R0808 · HHS/CMS/OIT	HHS	Pilot	Not high-impact	Information Technology	Classical / predictive ML	Contract and in-house
Production Operations Anomaly Analysis R0811 · HHS/CMS/OIT	HHS	Pilot	Not high-impact	Information Technology	Classical / predictive ML	Purchased from vendor
Drug Shortage Predictive Model R0840 · HHS/FDA/CDER	HHS	Pilot	Not high-impact	Health and Medical	Classical / predictive ML	Developed in-house
Data Ingestion and Content Explorer (DICE) R0868 · HHS/FDA/HFP	HHS	Pilot	Not high-impact	Health and Medical	Classical / predictive ML	Contract and in-house
NICHD RPAB AI/ML NICHD Relevance Model R0901 · HHS/NIH	HHS	Pilot	Presumed high-impact, determined not	Administrative Functions	Classical / predictive ML	Developed in-house
Person-level disambiguation for PubMed authors and NIH grant applicants R0934 · HHS/NIH	HHS	Pilot	Not high-impact	Administrative Functions	Classical / predictive ML	Contract and in-house
Identification of emerging areas R0964 · HHS/NIH	HHS	Pilot	Not high-impact	Administrative Functions	Classical / predictive ML	Contract and in-house
Prediction of transformative breakthroughs R0970 · HHS/NIH	HHS	Pilot	Not high-impact	Administrative Functions	Classical / predictive ML	Contract and in-house
New Offsite Models FDIC – 57 · Division of Risk Management Supervision	FDIC	Pilot	Not high-impact	Information Technology	Classical / predictive ML	Developed in-house
QCEW NAICS Autocoder DOL-39 · BLS	DOL	Pilot	Not high-impact	Other	Classical / predictive ML	Developed in-house
LCAT - Land Change Analysis Technique USDA-011 · Farm Production and Conservation	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Raster Tools USDA-017 · Natural Resources and Environment	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Genomic Analyses of Pathogen Subtypes USDA-043 · Food Safety	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Foodborne Illness Source Attribution USDA-044 · Food Safety	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Fire Resilient Landscapes USDA-074 · Natural Resources and Environment	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Spread and Balance Sample Design USDA-076 · Natural Resources and Environment	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Regression, Classification, Clustering with Hilbert Curves USDA-077 · Natural Resources and Environment	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
NWRC ND Field Station Birds and Agriculture Project USDA-100 · Marketing and Regulatory Programs	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
NWRC LSS Bioinformatic Coding USDA-101 · Marketing and Regulatory Programs	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
NWRC Rabies ML A.D. USDA-102 · Marketing and Regulatory Programs	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
NWRC Rabies ML M.H. USDA-103 · Marketing and Regulatory Programs	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
NWRC Pepin ML & AI USDA-104 · Marketing and Regulatory Programs	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
NWRC Genetics Metadata USDA-105 · Marketing and Regulatory Programs	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Vegetation Specifications Suite (VegSpec) USDA-117 · Farm Production and Conservation	USDA	Pilot	Not high-impact	Service Delivery	Classical / predictive ML	Contract and in-house
Digital Soil Mapping USDA-120 · Farm Production and Conservation	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Species Distribution Data analysis USDA-126 · Natural Resources and Environment	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Random Forest with Aquatic Effectiveness Monitoring USDA-131 · Natural Resources and Environment	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Forest fire effects remote sensing models USDA-132 · Natural Resources and Environment	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Yearly Incident Procurement Classification Report USDA-135 · Natural Resources and Environment	USDA	Pilot	Not high-impact	Procurement and Financial Management	Classical / predictive ML	Developed in-house
Bugnet USDA-143 · Natural Resources and Environment	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Contract and in-house
Forest Mapping using G-LiHT airborne data in interior Alaska USDA-146 · Natural Resources and Environment	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Forest Health Protection: Survey and mapping of forest damage from insects and diseases using machine learning USDA-148 · Natural Resources and Environment	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Contract and in-house
Predicting fire severity potential in future wildfires in California USDA-151 · Natural Resources and Environment	USDA	Pilot	Not high-impact	Energy and the Environment	Classical / predictive ML	Developed in-house
Forest Inventory and Cruising using GAIA AI USDA-152 · Natural Resources and Environment	USDA	Pilot	Not high-impact	Science	Classical / predictive ML	Purchased from vendor