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 |
|---|---|---|---|---|---|---|
| Unleashing AI Transformer Models on FPGAs for Accelerating LHC and Particle Physics DOE-485 · FNAL - Fermi National Accelerator (SC43 OIM) | DOE | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Remote Sensing Coastal Change - Shoreline Change DOI-0264 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Avian population estimates from passive acoustic monitoring [2024 INV#WO0000000109725] DOI-0236 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| FEMA mixed population flood-frequency analysis [2024 INV#WO0000000109723] DOI-0235 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Mapping sagebrush from drones to satellites [2024 INV#WO0000000109568] DOI-0231 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Reinforcement Learning for Helmholtz Coil Operation and Simulation [2024 INV#WO0000000109497] DOI-0228 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Development of a Strategic Framework for Use and Implementation of Machine Learning in Energy Resource Program Workflows [2024 INV#WO0000000109216] DOI-0217 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Predicting Sparse (Geothermal) Resources Availability by using Machine Learning [2024 INV#WO0000000109195] DOI-0211 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Mapping wildfire fuels in previously burned landscapes [2024 INV#WO0000000109121] DOI-0205 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Advancing image-based surveys to support sea duck conservation along the Pacific Flyway [2024 INV#WO0000000109096] DOI-0203 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Predicting inundation dynamics of small forested wetlands [2024 INV#WO0000000109089] DOI-0200 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Environmental streamflows in the United States: historical patterns and predictions [2024 INV#WO0000000109075] DOI-0198 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Zero shot segmentation to expedite Quaternary geologic mapping [2024 INV#WO0000000108739; 2024 INV#WO0000000109150] DOI-0189 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Tracking wetlands and water movement across watersheds [2024 INV#WO0000000108734] DOI-0187 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Everglades-Flux, Digital Surveys [2024 INV#WO0000000108630] DOI-0186 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Cell Phone Application for Oil Spill Detection [2024 INV#WO0000000108285] DOI-0183 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| National Wildlife Disease Database (NWDD) [2024 INV#WO0000000108149; 2024 INV#WO0000000109192] DOI-0181 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Machine learning for streamflow forecasting [2024 INV#WO0000000109317] DOI-0167 · USGS | DOI | Pre-deployment | Not high-impact | Science | 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 |
| 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 |
| 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 |
| 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 |
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