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 |
| ASPEN Mission Planner NASA-217 · JPL: Jet Propulsion Laboratory | NASA | Deployed | Not high-impact | Science | Agentic AI | 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 |
| Mars2020 Rover (Perseverance) NASA-232 · JPL: Jet Propulsion Laboratory | NASA | Deployed | Not high-impact | Science | Agentic AI | 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 |
| SPOC (Soil Property and Object Classification) NASA-244 · JPL: Jet Propulsion Laboratory | NASA | Deployed | Not high-impact | Science | Computer vision | Developed in-house |
| GCMD Keyword Recommender (GKR) NASA-365 · MSFC: Marshall Space Flight Center | NASA | Deployed | Not high-impact | Science | Natural language processing | Developed in-house |
| Autonomous WAiting Room Evaluation (AWARE) NASA-398 · LaRC: Langley Research Center | NASA | Deployed | Presumed high-impact, determined not | Administrative Functions | Computer vision | Developed in-house |
| Pre-trained microscopy image neural network encoders NASA-401 · GRC: Glenn Research Center | NASA | Deployed | Not high-impact | Science | Computer vision | Developed in-house |
| Onboard Planner for Mars2020 Rover (Perseverance) NASA-450 · JPL: Jet Propulsion Laboratory | NASA | Deployed | Not high-impact | Science | Agentic AI | 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 |
| Intelligent Camera Analytics for Security and Operations NASA-753 · OPS: Office of Protective Services | NASA | Deployed | High-impact | Law Enforcement | Computer vision | Purchased from vendor |
| 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 |
| GLOBE Program - Image processing NASA-900 · GSFC: Goddard Space Flight Center | NASA | Deployed | Not high-impact | Science | Computer vision | Contract and in-house |
| Data analysis and pattern recognition NASA-927 · MSFC: Marshall Space Flight Center | NASA | Deployed | Not high-impact | Science | Agentic AI | 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 |
| NextGen Advanced Methods: ATCSCC Webinar Speech2Text and Analysis NASA-25 · ARC: Ames Research Center | NASA | Deployed | Not high-impact | Transportation | Natural language processing | Contract and in-house |
| NextGen Data Analytics: Letters of Agreement NASA-26 · ARC: Ames Research Center | NASA | Deployed | Not high-impact | Transportation | Natural language processing | Contract and in-house |
| NASA OCIO STI Concept Tagging Service NASA-334 · LaRC: Langley Research Center | NASA | Deployed | Not high-impact | Science | Natural language processing | Developed in-house |
| Instantaneous Clarity of Ambient eNvironment Capability (ICAN-C) NASA-445 · MSFC: Marshall Space Flight Center | NASA | Pilot | Not high-impact | Science | Generative AI | Developed in-house |
| AI Digital Assistants (HRP) [was "Doc in a Box" for Earth Independent Medical Operations (EIMO)] NASA-487 · JSC: Johnson Space Center | NASA | Pilot | Presumed high-impact, determined not | Health and Medical | Agentic AI | Developed in-house |
| Data Fracking (HRP) NASA-488 · JSC: Johnson Space Center | NASA | Pilot | Not high-impact | Science | Natural language processing | 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 |
| ChatGSFC NASA-539 · GSFC: Goddard Space Flight Center | NASA | Pilot | Not high-impact | Science | Generative AI | Contract and 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 |
| GenAI Agent for Interacting with Robots (https://github.com/nasa-jpl/rosa) NASA-709 · JPL: Jet Propulsion Laboratory | NASA | Pilot | Not high-impact | Science | Generative AI | Developed in-house |
| SLIM: Software Lifecycle Improvement & Modernization NASA-711 · JPL: Jet Propulsion Laboratory | NASA | Pilot | Not high-impact | Information Technology | Generative AI | Developed in-house |
| Using LLMS for Documents and Requirements Analysis NASA-712 · JPL: Jet Propulsion Laboratory | NASA | Pilot | Not high-impact | Administrative Functions | Natural language processing | Developed in-house |
| Adversarial Policy Evolution via AI NASA-808 · JPL: Jet Propulsion Laboratory | NASA | Pilot | Not high-impact | Science | Reinforcement learning | 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 |
| AI-enabled Risk-Informed Assessment Selection (RIAS) tool NASA-746 · OSMA: Office of the Chief Safety & Mission Assurance | NASA | Pilot | Not high-impact | Other | Generative AI | Developed in-house |
| AI Based Digital Twin Interoporability Schema NASA-798 · JPL: Jet Propulsion Laboratory | NASA | Pilot | Not high-impact | Science | Reinforcement learning | 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 |
| Autoresolver/Tailored Arrival Manager NASA-5 · ARC: Ames Research Center | NASA | Pre-deployment | Not high-impact | Transportation | Agentic AI | Not reported |
| Distributed Spacecraft Autonomy NASA-9 · ARC: Ames Research Center | NASA | Pre-deployment | Not high-impact | Science | Agentic AI | Not reported |
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