Anomaly Detection and Precursor Identification in UAV flight data
This project is using past algorithms developed by the NASA ARC (Ames Research Center) Data Sciences Group and modifying them with application to identifying previously-unknown an…
ExoMiner discovery of ExoPlanets via data from the Kepler and TESS space telescopes
ExoMiner is being used to statistically validate exoplanets detected by the Kepler space telescope and to identify promising exoplanet candidates for the TESS space telescope
Anomaly detection in aeronautics data with quantum-compatible discrete deep generative model
Our team developed high-performance unsupervised deep machine-learning models for the detection of flight-operations anomalies. The models’ engineered-feature (latent) spaces are…
Machine Learning Airport Surface Model: Estimated ON Time Prediction
The ML-airport-estimated-ON software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models inten…
Machine Learning Airport Surface Model: Taxi-in Prediction
The ML-airport-taxi-in software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models intended f…
Federated Learning Using In-Space Data (FLUID )
Enables neural net models to be trained using a combination of terrestrial data and space-borne data without the need to downlink or uplink data for consolidation and training in…
Mapping Digital Infrastructure (MADI)
The Mapping Digital Infrastructure (MADI) is a series of natural-language processing based tools that are designed to supplement the human-in-the-loop data exploration for CAS.
Use of AI for UAV power train monitoring
Use of PyTorch feedforward neural networks to monitor the health of electronic speed controllers and motors.
Biological and Physical Sciences (BPS) RNA Sequencing Benchmark Training Dataset
RNA sequencing data from spaceflown and control mouse liver samples, sourced from NASA GeneLab and augmented with generative adversarial network to provide synthetic data points.
NIR spectroscopy-based analytical tool for immediate determination of chemical signature
Goals: Develop AI/ML based tool that can identify materials composition and size distribution “on the fly”
Improved Differential Dynamic Microscopy (DDM) tool for characterization of soft matter
Goals: Develop AI/ML based tool that can improve processability of images and derive the outcome
Troupe Rover Demonstration
The Troupe Rover demonstration project is implementing an algorithm called "SafeMAP" or Safe Multi-Agent Planner. SafeMAP is used in distributed multi-rover or multi-uav system to…
Manager for Intelligent Knowledge Access (MIKA)
Manager for Intelligent Knowledge Access (MIKA) is a Python toolkit specialized for state-of-the-art knowledge discovery and information retrieval for technical documents.
AdaStress
AdaStress, a tool for finding and analyzing the likeliest failures in a simulated system under test.
Rover ML-based vision system
The rover uses deep neural networks perform perception, currently related to line following.
NASA E-Nose for the detection of disease using breath analysis
Develop one or more AI models that can classify disease related biosignatures from the data produced by the Ames NASA E-Nose when exposed to exhaled human breath.
Spaceport Throughput Analysis Resource
The Spaceport Throughput Analysis Resource (STAR) assesses whether a set proposed launches and associated activities can be performed given the resources KSC currently has availab…
NASA-GPT: Retrieval-Augmented Generation using NTRS and more
This use case is an example of Retrieval-Augmented Generation (RAG), which roughly speaking is an AI-augmented form of search. It acts much like ChatGPT or one of the other servic…
Depth from Spectral Defocus for Lunar Regolith
Our technique reconstructs a 3D model of a scene based on images taken from a single viewpoint -- via estimating a depth map of a scene based on the defocus of different objects i…
Neural Scene Representations for Lunar Terrain Modeling
We have developed LunarNRM, a novel neural surface reconstruction algorithm based on Neural Radiance Fields (NeRFs) that incorporates shadow-aware and depth-aware methodologies.
Data Augmentation Pipeline for Zero-Shot Sim-to-Real Transfer in Vision-Based Robot Navigation
We developed a data augmentation pipeline to enhance the training of vision-based navigation models for robotics, addressing the challenges of limited real-world data.
Safe Autonomous Taxiing with Vision-Based Navigation
TaxiNet is a vision-based deep learning model developed to enable autonomous vehicles to follow a designated line safely during aircraft taxiing, a crucial application for assured…
Deep Learning for Flood Mapping (DELTA)
DELTA simplifies machine learning for satellite imagery.
Distributed Spacecraft Autonomy
Distributed Spacecraft Autonomy (DSA) is a project developed by the National Aeronautics and Space Administration that enables distributed spacecraft systems through the developme…