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 |
|---|---|---|---|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Earth Information System Fire Pilot NASA-100 · GSFC: Goddard Space Flight Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Enabling Autonomous Differential Drag Control and Attitude Maneuvering Using Onboard Artificial Intelligence (AI) for SmallSat Distributed Space Missions (DSMs) NASA-105 · GSFC: Goddard Space Flight Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Forest responses to climate change NASA-113 · GSFC: Goddard Space Flight Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| From Single Spacecraft to Synchronized Swarms: Fault Diagnosis for Distributed Spacecraft Mission Resilience NASA-123 · GSFC: Goddard Space Flight Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| HEASARC X-ray Spectra and Light Curve data sets NASA-127 · GSFC: Goddard Space Flight Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| High Rate Digital Spectrometer Enhancement with Neural Network AI NASA-128 · GSFC: Goddard Space Flight Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| High Resolution Earth and Planetary Atmospheric Predictions using Machine Learning NASA-129 · GSFC: Goddard Space Flight Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |