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 |
|---|---|---|---|---|---|---|
| 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 |
| Design Optimization of Turbomachinery Rotor Blades using Neural Network Surrogate Models NASA-526 · GRC: Glenn Research Center | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Implement machine learning in NMIS to assist with mishap coding NASA-545 · OSMA: Office of the Chief Safety & Mission Assurance | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Adaptive Problem Solving / Hyperparameter Optimization NASA-809 · JPL: Jet Propulsion Laboratory | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Time Series Forecasting, Evaluation and Deployment (Time-FED) NASA-814 · JPL: Jet Propulsion Laboratory | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| AI Risk-aware task and motion planning for snake-like robots in icy enviroments NASA-815 · JPL: Jet Propulsion Laboratory | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Retrieving stratospheric NO2 profiles from OMPS Limb Profiler measurements NASA-850 · GSFC: Goddard Space Flight Center | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Quantification of Uncertainty Analysis Toolkit (QUAnT) NASA-861 · GSFC: Goddard Space Flight Center | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Cloud Account Allocation Plan (CAAP) Cost Analytics Support NASA-901 · GSFC: Goddard Space Flight Center | NASA | Pilot | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| Anomaly detection in aeronautics data with quantum-compatible discrete deep generative model NASA-13 · ARC: Ames Research Center | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Machine learning for prediction and factor analysis of laser forming parameters NASA-932 · MSFC: Marshall Space Flight Center | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| RDUST Regolith Dust Universal System Tracker NASA-935 · MSFC: Marshall Space Flight Center | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| 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 |
| 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 |
| HyperMapping with Hyperspectral Precise Pointing Optical Sensor (HYPPOS) for Decadal Survey Mission Pathfinder Activities NASA-133 · GSFC: Goddard Space Flight Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| M4OPT: Multi-Mission Multi-Messenger Observation Planning Toolkit NASA-148 · GSFC: Goddard Space Flight Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
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