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 |
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