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.
Columns (7)
| Use case | Agency | Stage | High-impact | Topic area | AI classification | Sourcing |
|---|---|---|---|---|---|---|
| Neural Networks for FHFA Modeling Analytics Platform (FMAP) FHFA-2 · DHMG | FHFA | Deployed | Not high-impact | Information Technology | Classical / predictive ML | Developed in-house |
| 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 |
| Purchase Card Management System (PCMS) NASA-715 · JPL: Jet Propulsion Laboratory | NASA | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| New Technology and Software Reporting (NTR) NASA-716 · JPL: Jet Propulsion Laboratory | NASA | Deployed | Not high-impact | Administrative Functions | 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 |
| Economic Trend Modeling FRB-0001 · Division of Monetary Affairs | FRB | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| PDF Optical Character Recognition (Text) FRB-0003 · Division of Information Technology | FRB | Deployed | Not high-impact | Information Technology | Classical / predictive ML | Developed in-house |
| Commercial Real Estate Index FRB-0009 · Division of Supervision and Regulation | FRB | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Regulatory Data Analysis FRB-0028 · Division of Supervision and Regulation | FRB | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Risk Rating Model – Community Banks FRB-0049 · Division of Supervision and Regulation | FRB | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Malaria parasites DNA barcode geography classification R0658 · HHS/CDC | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Genetic distance computation method for comparing complex multi-locus parasite (Cyclospora) genotypes R0673 · HHS/CDC | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| NIOSH Industry and Occupation Computerized Coding System (NIOCCS) R0676 · HHS/CDC | HHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| Nowcasting Injury Trends R0677 · HHS/CDC | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Machine Learning with Premier Healthcare Data to inform predictive modeling of antibiotic use R0695 · HHS/CDC | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Machine Learning Techniques for Early Detection and Situational Awareness of Rabies Outbreaks R0696 · HHS/CDC | HHS | Deployed | Not high-impact | Health and Medical | 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 |
| Supply Chain Resilience Program, Office of Supply Chain Resilience (OSCR) - Foresight R0833 · HHS/FDA/CDRH | HHS | Deployed | Not high-impact | Health and Medical | 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 |
| Food AI Decision Engine (FAIDE) R0863 · HHS/FDA/HFP | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Rapid Intuitive Pathogen Surveillance (RIPS) R0865 · HHS/FDA/HFP | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Biomedical Citation Selector (BmCS) R0907 · HHS/NIH | HHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| Medical Text Indexer-NeXt Generation (MTIX) MEDLINE Indexing R0923 · HHS/NIH | HHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| NICHD RPAB AI/ML Application Referral System R0930 · HHS/NIH | HHS | Deployed | Presumed high-impact, determined not | Administrative Functions | Classical / predictive ML | Developed in-house |
| NLP Automated Referral R0931 · HHS/NIH | HHS | Deployed | Presumed high-impact, determined not | Administrative Functions | Classical / predictive ML | Developed in-house |
| Tool for PO Lookup Assignment (TPAL) R0946 · HHS/NIH | HHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| HMDA (Home Mortgage Disclosure Act) Outlier Screen FDIC – 21 · Division of Depositor and Consumer Protection | FDIC | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| OEWS Occupation Autocoder DOL-19 · BLS | DOL | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Scanner Data Product Classification DOL-20 · BLS | DOL | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Computer-Assisted Coding:
SOII Autocoder DOL-28 · BLS | DOL | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| CFOI Record Matching DOL-29 · BLS | DOL | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| CPS OTC Prediction DOL-35 · BLS | DOL | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Sample Refinement: Frame API DOL-36 · BLS | DOL | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| CE Interview Item Code Estimation DOL-37 · BLS | DOL | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| CE Interview Imputations DOL-38 · BLS | DOL | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Comment Actionability
Likelihood Score DOL-40 · BLS | DOL | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| PPI Price Tolerance Prediction DOL-42 · BLS | DOL | Deployed | Not high-impact | Other | Classical / predictive ML | Developed 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 |
| List Frame Deadwood Identification USDA-023 · Research, Education and Economics | USDA | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
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