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 |
|---|---|---|---|---|---|---|
| Machine learning for streamflow forecasting [2024 INV#WO0000000109317] DOI-0167 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Remote sensing of particulate and filter passing mercury species: models and proxies DOI-0157 · USGS | DOI | Pre-deployment | Not high-impact | Energy and the Environment | Classical / predictive ML | Not reported |
| An integrated sensor network and data driven approach to satellite remote sensing of Dissolved Organic Matter DOI-0154 · USGS | DOI | Pre-deployment | Not high-impact | Energy and the Environment | Classical / predictive ML | Not reported |
| Machine Learning for Rapid Earthquake Magnitude Estimation DOI-0153 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Lead attribution model DOI-0152 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Machine learning for stream velocity prediction DOI-0146 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Predictive AI applications for estimating water quality constituents as causal factors of harmful algal blooms. DOI-0143 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Biotic and abiotic drivers of the prevalence of a tick and associated vector-borne disease DOI-0142 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Enhancing Community and Wildlife Resilience to Sea?Level Rise and Infrastructure Development in the San Pablo Baylands DOI-0141 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Predicting from the past - identifying characteristics of invasion-resistant and invasion-prone waterbodies to aid horizon scanning DOI-0139 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Using High-Resolution Imagery and Artificial Intelligence to Support Climate Change Resilience in Agroforestry Across the Pacific DOI-0138 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Machine Learning for High-Resolution Downscaling in the Hawaiian Islands DOI-0134 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Global Detection of Historical Harmful Algal Blooms via combined Satellite Data and Deep Learning Methods DOI-0133 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Feature extraction and characterization for update of The National Map DOI-0131 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Supervised learning for phycocyanin estimation from Sentinel-2 MSI in inland waters with independent validation DOI-0130 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| MAGMA-net: Multimodal analysis for geophysical monitoring of activity DOI-0125 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Animas River Metals Surrogate DOI-0124 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| [Un]supervised clustering of [non-]earthquake signals commonly recorded on regional seismic networks DOI-0121 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Inference of PFAS precursor compositions DOI-0110 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Using Graph Neural Networks for development of nonergodic earthquake ground-motion models DOI-0118 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Storm Induced Erosion Response Network DOI-0107 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Improving recreation opportunities and access to public lands through machine learning and transportation planning DOI-0104 · USGS | DOI | Pre-deployment | Not high-impact | Transportation | Classical / predictive ML | Not reported |
| 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 |
| Detecting and tracking reed canarygrass (Phalaris arundinacea) invasion in the Upper Mississippi River floodplain using remote sensing and artifial intelegence. DOI-0085 · 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 |
| PFAS model of soils in the northeast DOI-0076 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| PFAS Groundwater Model DOI-0078 · 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 |
| Water Time-Series Record Automation Framework development DOI-0036 · USGS | DOI | Pre-deployment | Not high-impact | Science | 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 |