PIC-ASIC Spectrometer Demonstration for Ultrawideband and Hyperspectral Microwave Sounding
This family of technologies can provide extremely small multi-sensor capabilities in areas such as ultrawideband and hyperspectral sensing.
Portable flow inferencing device using Fourier Ptychography and Deep Learning for detection of biosignatures
This work is on a portable flow inferencing device using Fourier Ptychography and Deep Learning for detection of biosignatures based on sensors from NASA space probes.
RAMjET: RApid Machine lEarned Triage - AI to classify astrophysical phenomena in photometric lightcurves
The MAtISSE project seeks to develop a new approach to rapid, real-time extraction and classification of photometric light curves using a modern differencing technique and advance…
Reconstruction of cloud vertical structure
This work explores the feasibility of solving atmospheric remote sensing problems with machine learning using conditional generative adversarial networks (CGANs), implemented usin…
Research in Aritificial Intelligence for Spacecraft Resilience (RAISR)
This work is in AI/ML-assisted fault detection to complement human capability for diagnosing issues.
Science Translation with AI
This work uses natural language processing and bidirectional encoder representations fromm tansformers (BERT) to perform Science Translation on relevant documents or text files.
Semi-Automatic Landslide Detection (SALaD)
Semi-Automatic Landslide Detection (SALaD). NASA's Semi-Automatic Landslide Detection (SALaD) system combines three leading-edge technologies: open-source Python packages and modu…
SpectraClass: Semi-supervised learning in a Jupyter Notebook
This is a workbench supporting interactive visual data analysis of sensor data.
SWaP-efficient, fast-wavelength-steering and time-division-multiplexing lidar technology capable of multi-beam ranging and concurrent hyper-spectral imaging
We propose to integrate next-generation lidar, compact hyperspectral imaging and Artificial Intelligence (AI) technologies to provide a new remote sensing measurement capability f…
Toward Resilient Spacecraft: Artificially Intelligent Reasoning for Diagnosing Safe Modes
This research will develop a proof-of-concept prototype for an intelligent and explainable reasoning system on-board, which is capable of diagnosis and decision making in real-tim…
Towards Scientific Autonomy: Applying Machine Learning to MOMA Science Data
This work progresses NASA toward Scientific Autonomy by Applying Machine Learning to MOMA (Mars Organic Molecule Analyzer) Science Data to help search for signs of life.
Training Data for Streamflow Estimation
This work uses convolutional neural networks to refine training data for streamflow estimation. The project will implement, test, and operationalize a system to derive effective s…
Unification of laboratory and observational data via learning algorithms for robust models of ice microphysics
This work applies neural networks and variational autoencoders to a variety of weather analysis
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…
Using Machine Learning to Detect and Build Calibrated CME Datasets
This work uses "you only look once" v.3 Machine Learning techniques to detect and build calibrated CME (coronal mass ejection) datasets based on other solar sensor data.
Vlasov Informed Super Resolution (VISR)
This work uses a physics informed neural network to gain insight into the Vlasov equation (key to plasma physics) based on plasma data from the Magnetospheric Multiscale mission s…
AEGIS: Autonomous Exploration for Gathering Increased Science
AEGIS enables intelligent targeting and data acquisition by planetary rovers. It uses computer vision techniques to identify targets (e.g., rocks) in wide angles images of the rov…
Agile Science
This project seeks to enable agile science to be conducted by remote, autonomous spacecraft beyond range of low-latency human control.
ASPEN Mission Planner
Based on AI techniques, ASPEN is a modular, reconfigurable application framework which is capable of supporting a wide variety of planning and scheduling applications. ASPEN provi…
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…
CLASP Coverage Planning & Scheduling
The Compressed Large-scale Activity Scheduling and Planning (CLASP) project is a long-range scheduler for space-based or aerial instruments that can be modeled as pushbrooms 1D li…
Dynamic Targeting
In this approach, called Dynamic Targeting (DT), traditional broad swath instruments are supplemented by more focused instruments with narrow swath and/or limited duty cycle. Thes…
Enhanced AutoNav for Perseverance Rover on Mars
AutoNav on the Perseverance Rover autonomously plans a safe path based on stereo navigation camera images, based on multiple technologies including a tree search for decision maki…
Groundwater data interpolation in California’s Central Valley using multimodal data fusion and multivariate sequence-to-sequence transformation models
We describe novel distributed Artificial Intelligence/Multi Agent algorithms to allocate observations in a constellation and compare their performance to centralized and highly di…