XMM-GPT
XMM-GPT is a domain-specialized AI assistant built by fine-tuning Google's Open-Source FLAN family of LLMs through transfer learning on up-to-date XMM-Newton Documentation. The mo…
SAS Vision
SAS VISION is a convolutional neural network (CNN)-based computer vision model designed to identify previously undocumented astronomical objects such as AGNs, NGCs, and stellar so…
Adaptive State-Space Control via Neuromorphic Computing
Neuromorphic hardware for autonomous control logic adaptation in robotics/aerospace
AI-Enhanced Mission Operations Reporting & Decision Support System
NASA's Mission Control currently relies on a manual CHIT (Mission Action Request) system for real-time operational decisions, a process that places a high cognitive load on flight…
Athena (EM32 Document Intelligence)
Converts 490K+ EM32 repository files into a searchable knowledge fabric. Supports 691+ file extensions, builds cross-document graphs, enables text-to-image queries, OCR, and compl…
Autonomous Navigation Decision Making for Lunar/Martian Rovers
Enable a rover (or rover swarm) to autonomously collect lunar regolith, haul it to a worksite, and execute construction tasks (e.g., berms, landing pad layers, trenching, or feeds…
Autonomous Object Manipulation Decision Making for Lunar/Martian Rovers
Allow a robotic arm(s) on the lunar surface (or inside a habitat/lander bay) to autonomously identify, retrieve, and swap between different tools and payloads, then execute a sequ…
BoundState (Compliance & Risk Engine)
Validates engineering parts, materials, and BOMs against NASA, ASTM, and program standards. Flags PFAS/non-compliant risks, generates property-based alternative recommendations wi…
Data analysis and pattern recognition
We are often found using optical evaluation on specimens that do not necessarily have a textbook approach to evaluation. By feeding into the knowledge base and creating an agent C…
Dirty Vacuum rated 6-Axis Robotic Arm Toolpathing
MSFC has acquired a custom dirty vacuum rated 6-axis robotic arm from Motiv space systems. This robotic arm while purpose built for manufacturing does require custom toolpathing c…
Gap-filled and downscaled vegetation composited index derived from satellite optical observations
This project is in partnership with ARC and GeoNEX under the Ecological Conservation NASA Earth Action program. It seeks to leverage Harmonized Landsat Sentinel-2 (HLS) data to pr…
Deep Learning for Communication-Limited Spacecraft
The objective of this project is to investigate the feasibility of applying deep-learning algorithms to communication-limited spacecraft, an operational domain where a slow, restr…
Lunar Foundation Model for Planetary Sciences
Foundation Model trained on LRO WAC, NAC, and RTM imagery to assist lunar scientists with AI applications regarding the surface processes of the moon
Lunar Rover Localization
AI to merge and analyze lunar reconnaissance data with terrain relative navigation techniques utilizing on board sensors to generate high resolution localized maps. Inputs are rov…
Machine learning for prediction and factor analysis of laser forming parameters
Various machine learning techniques (neural network, support vector machine, etc.) employed to predict bending angle of sheet metal subjected to laser forming processes and to elu…
MIRA (MAPTIS NLP Interface)
NLP interface for querying legacy test reports in MAPTIS
Object classification, change detection, and anomaly detection in LiDAR and other point cloud datasets.
Leveraging AI for point cloud analysis may advance accuracy and efficiency of: •Point cloud classification, enhancing capabilities for LiDAR based autonomy and navigation. •Chang…
RDUST Regolith Dust Universal System Tracker
AI for real-time dust environment simulation and analysis
Research to Operations Platform
Platform that leverages foundation models created by NASA IMPACT AI for Science to allow users to inference on the fine-tuned models and visualize the results
Development of new tools for detecting and assessing resilient agriculural systems farm performance
This work uses convolutional long short-term memory neural networks to aid in development of new tools for detecting and assessing resilient agriculural systems farm performance b…
Machine Learning Data Validation
Flags anomalies in Call Report data to improve data quality and reduce manual review
Supervisory Stress Testing
Forecasts loan performance (repayment, defaults) to support stress testing and risk analysis
Risk Indicator Model
Identifies credit unions at risk of CAMEL downgrade to proactively manage NCUSIF exposure
Moody’s Stress Test Modeling
Simulates economic scenarios to assess credit union financial resilience