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 |
|---|---|---|---|---|---|---|
| Multiple machine-learning estimation of groundwater levels and trends for the regional Mississippi River Valley alluvial aquifer DOI-0101 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Lake Champlain Cyanobacteria Bloom modeling DOI-0099 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Forest metrics at Redwood National and State Parks DOI-0098 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Fire Effects at Whiskeytown National Recreation Area and Lava Beds National Monument DOI-0096 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Hydrologic predictions for the Upper Mississippi River System using a hybrid deep learning approach. DOI-0082 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Aveva Predictive Analytics (APA) DOI-0058 · BOR | DOI | Pre-deployment | Not high-impact | Other | Classical / predictive ML | Not reported |
| Using Machine Learning to Automate Crack Mapping and Structural Health Monitoring DOI-0048 · BOR | DOI | Pre-deployment | Not high-impact | Energy and the Environment | Classical / predictive ML | Not reported |
| Machine Learning Refines Quagga Habitat Suitability [2024 INV#DOI-74 (NEW)] DOI-0045 · BOR | DOI | Pre-deployment | Not high-impact | Energy and the Environment | Classical / predictive ML | Not reported |
| Machine Learning Applied to Geotechnical Engineering: Statistical Methods Applied to Seismic Analysis [2024 INV#DOI-71 (NEW)] DOI-0044 · BOR | DOI | Pre-deployment | Not high-impact | Energy and the Environment | Classical / predictive ML | Not reported |
| Machine Learning for Chemical Savings at Reverse Osmosis Plants [2024 INV#DOI-73 (NEW)] DOI-0043 · BOR | DOI | Pre-deployment | Not high-impact | Energy and the Environment | Classical / predictive ML | Not reported |
| Geothermal Energy Assessments DOI-0039 · USGS | DOI | Pre-deployment | Not high-impact | Energy and the Environment | Classical / predictive ML | Not reported |
| Lithium Potential Assessments DOI-0038 · USGS | DOI | Pre-deployment | Not high-impact | Energy and the Environment | Classical / predictive ML | Not reported |
| Mineral Resource Assessments DOI-0037 · USGS | DOI | Pre-deployment | Not high-impact | Energy and the Environment | Classical / predictive ML | Not reported |
| Using advanced computing techniques for mobile monitoring platforms [2024 INV#WO0000000109492] DOI-0035 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| CONUS EcoFlows Planning & Prototype [2024 INV#WO0000000109732] DOI-0032 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Nutrient, Salinity, sediment, temperature, and drought model development DOI-0031 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| IA Tribal Consultation Clearinghouse DOI-0006 · ASIA | DOI | Pre-deployment | Not high-impact | Administrative Functions | Classical / predictive ML | Not reported |
| In-storage computing for multi-messenger astronomy in neutrino experiments and cosmological surveys DOE-63 · FNAL - Fermi National Accelerator (SC43 OIM) | DOE | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Streamining intelligent detectors for sPHENIX/EIC DOE-65 · FNAL - Fermi National Accelerator (SC43 OIM) | DOE | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Uncertainty Quantification and Instrument Automation to enable next generation cosmological discoveries DOE-69 · FNAL - Fermi National Accelerator (SC43 OIM) | DOE | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Simulation-based inference for cosmology DOE-71 · FNAL - Fermi National Accelerator (SC43 OIM) | DOE | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Extreme data reduction for the edge DOE-72 · FNAL - Fermi National Accelerator (SC43 OIM) | DOE | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Technical Operations Predictive Maintenance DOT-1000010 · FAA AJO | DOT | Pre-deployment | Not high-impact | Transportation | Classical / predictive ML | Contract and in-house |
| Report Assistant DOE-610 · SRS - ESB - Savannah River Site - Enterprise System Boundary | DOE | Pre-deployment | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| Machine Learning to support Operational Efficiency DOE-726 · SRS - ESB - Savannah River Site - Enterprise System Boundary | DOE | Pre-deployment | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| AI-Driven Predictive Maintenance for Mint Manufacturing Equipment and Production Assets MINT-02 · United States Mint (USM) | TREAS | Pre-deployment | Not high-impact | Information Technology | Classical / predictive ML | Not reported |
| CF Staff Review Comments SEC-9 · Division of Corporate Finance (CF) | SEC | Pre-deployment | Not high-impact | Other | Classical / predictive ML | Not reported |
| Identification of Potentially Manipulative Trading Activity in Registrant Data SEC-21 · Division of Examinations (EXAMS) | SEC | Pre-deployment | Not high-impact | Other | Classical / predictive ML | Not reported |
| Enhancing Analysis of SEC Web Engagement Trends Using AI SEC-54 · Office of Information Technology (OIT), Office of the Chief | SEC | Pre-deployment | Not high-impact | Service Delivery | Classical / predictive ML | Not reported |
| Identifying Citations of SEC Publications to Measure Market Impact SEC-55 · Office of the Chief Data Officer (OCDO), Office of Informati | SEC | Pre-deployment | Not high-impact | Service Delivery | Classical / predictive ML | Not reported |
| Analyzing Registered Offerings Data to Understand Capital Formation Trends SEC-56 · Office of Information Technology (OIT), Office of the Chief | SEC | Pre-deployment | Not high-impact | Other | Classical / predictive ML | Not reported |
| Analyzing EDGAR Search Trends to Understand Public Interest in Filings SEC-57 · Office of the Chief Data Officer (OCDO), Office of Informati | SEC | Pre-deployment | Not high-impact | Service Delivery | Classical / predictive ML | Not reported |
| Analyzing Form ADV Data to Identify Trends Among Investment Advisers SEC-58 · Office of the Chief Data Officer (OCDO), Office of Informati | SEC | Pre-deployment | Not high-impact | Other | Classical / predictive ML | Not reported |
| Anomaly Detection and Precursor Identification in UAV flight data NASA-1 · ARC: Ames Research Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| ExoMiner discovery of ExoPlanets via data from the Kepler and TESS space telescopes NASA-10 · ARC: Ames Research Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Explainable and robust deep semi-supervised model for multi-class anomaly detection in flight data NASA-11 · ARC: Ames Research Center | NASA | Pre-deployment | Not high-impact | Transportation | Classical / predictive ML | Not reported |
| Machine Learning Airport Surface Model: Airport Configuration Prediction NASA-18 · ARC: Ames Research Center | NASA | Pre-deployment | Not high-impact | Transportation | Classical / predictive ML | Not reported |
| Machine Learning Airport Surface Model: Arrival Runway Prediction NASA-19 · ARC: Ames Research Center | NASA | Pre-deployment | Not high-impact | Transportation | Classical / predictive ML | Not reported |
| Machine Learning Airport Surface Model: Departure Runway Prediction NASA-20 · ARC: Ames Research Center | NASA | Pre-deployment | Not high-impact | Transportation | Classical / predictive ML | Not reported |
| Machine Learning Airport Surface Model: Estimated ON Time Prediction NASA-21 · ARC: Ames Research Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Machine Learning Airport Surface Model: Taxi-in Prediction NASA-22 · ARC: Ames Research Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Machine Learning Airport Surface Model: Taxi-out Prediction NASA-23 · ARC: Ames Research Center | NASA | Pre-deployment | Not high-impact | Transportation | Classical / predictive ML | Not reported |
| Unsupervised anomaly detection in flight data with deep variational autoencoders NASA-33 · ARC: Ames Research Center | NASA | Pre-deployment | Not high-impact | Transportation | Classical / predictive ML | Not reported |
| Aero-Engines AI - a machine-learning app for aircraft engine system-performance prediction NASA-35 · GRC: Glenn Research Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Graph Neural Networks for Airfoil Performance Prediction NASA-40 · GRC: Glenn Research Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Inverse Design of Materials NASA-41 · GRC: Glenn Research Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Applying machine learning techniques to enhance the sensitivity and selectivity of multifunctional sensor platform NASA-64 · GSFC: Goddard Space Flight Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Artificial Intelligent Co-Processor Slice with Google Coral TPU For Automated Onboard Data-Product Generation NASA-66 · GSFC: Goddard Space Flight Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Deep Learning for Communication-Limited Spacecraft NASA-93 · GSFC: Goddard Space Flight Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Development of new tools for detecting and assessing resilient agriculural systems farm performance NASA-97 · GSFC: Goddard Space Flight Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |