High Rate Digital Spectrometer Enhancement with Neural Network AI
As spaceborne spectrometer increases in spectral resolution, the growth in spectral data volume and the limited space to Earth communication bandwidth are prone to be a problem fo…
High Resolution Earth and Planetary Atmospheric Predictions using Machine Learning
We are developing a machine learning (ML) tool that can predict high-resolution in situ atmospheric conditions using relatively lower resolution remote data e.g., from an orbiting…
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…
HyperMapping with Hyperspectral Precise Pointing Optical Sensor (HYPPOS) for Decadal Survey Mission Pathfinder Activities
This work uses HyperMapping techniques on Hyperspectral Precise Pointing Optical Sensor (HYPPOS) data for Decadal Survey Mission Pathfinder Activities. The effort is developing AI…
Knowledge Capture: helionauts.org
This work uses natural language processing to perform text-based knowledge capture for the helionauts.org community, which is a cloud-based community of practice for Heliophysics…
M4OPT: Multi-Mission Multi-Messenger Observation Planning Toolkit
M4OPT: Multi-Mission Multi-Messenger Observation Planning Toolkit. This work includes considerations for data integration and use across multiple Science missions and leveraging m…
Machine Intelligence for Small Satellites
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…
Machine Learning of Ocean Worlds Laboratory Analog Seawater Volatiles
This work focuses on algorithm-development for software that can predict the composition of an ocean using mass spectra of volatile gases analyzed.
MERRAMax Automated feature selection
There is growing interest in using Intergovernmental Panel on Climate Change (IPCC)-class climate model outputs in ecological research. These models provide realistic, global repr…
Multi-temporal analytic center framework
Multi-temporal analytic center framework. This is an integrating mechanism rather than a specific AI or ML technology.
Optimization of Machine Learning Algorithms for Lidar to Detect Aerosols, Clouds, and the PBL (Planetary Boundary Layer)
Optimization of Machine Learning Algorithms for Lidar to Detect Aerosols, Clouds, and the PBL (Planetary Boundary Layer)
Parameter estimation, emulator building, model tuning and sensitivity analysis of the ocean carbon cycle using ML
This work explores neural networks and other ML techniques for Earth Science topics and data sets related to global carbon cycle, ocean circulation, air-sea interactions and clima…
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…