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
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…
Nighttime Combustion Detection from NASA’s Black Marble
This use case focuses on monitoring nighttime combustion over land from NASA’s Black Marble product and has demonstrated the detection of fires and gas flaring mapping by jointly…
The On-board Artificial Intelligence Research (OnAIR) Platform
The On-board Artificial Intelligence Research (OnAIR) Platform is a generalized software framework for performing AI research.
ChatGSFC
ChatGSFC is an AI-powered chatbot designed for Goddard Space Flight Center personnel Powered by a state-of-the-art large language model (currently Claude 3.5 Sonnet) Capable of as…
XR Enabling Technologies for Hardware Integration & Test Process Improvement
This project will integrate speech-to-text and large language model functionality into the Mixed Reality Engineering Toolkit (MRET) to enable hands-free control and a natural-lang…
DSM Autonomy: Capability Integration/Demonstration and Mission Resilience
DSM Autonomy: Capability Integration/Demonstration and Mission Resilience
Implementing Intelligent Extensible Mission Architectures (IEMA)
Implementing Intelligent Extensible Mission Architectures (IEMA)
A diagnostic package to facilitate and enhance chemical mechanism implementations within regional and global atmospheric chemistry models
A diagnostic package to facilitate and enhance chemical mechanism implementations within regional and global atmospheric chemistry models
A machine learning tool to assist the validation of HPLC analysis of phytoplankton pigments at NASA GSFC
A machine learning tool to assist the validation of HPLC analysis of phytoplankton pigments at NASA GSFC
A Neural Network Retrieval for Aerosol Optical Depth
A Neural Network Retrieval for Aerosol Optical Depth
Adding Blowing Snow Diagnosis to the GEOS Capability for Improved Surface Mass Balance and Weather Applications
Adding Blowing Snow Diagnosis to the GEOS Capability for Improved Surface Mass Balance and Weather Applications
Aerosol and Cloud Detection Using Machine Learning Algorithms and Space-Based Lidar Data
Aerosol and Cloud Detection Using Machine Learning Algorithms and Space-Based Lidar Data
AI Foundation Model for Weather and Climate
AI Foundation Model for Weather and Climate
AI Prediction Algorithms for Autonomous Science and Operations
AI Prediction Algorithms for Autonomous Science and Operations
Algorithm developments for synergistic use of water quality products from multispectral and hyperspectral satellite observations
Algorithm developments for synergistic use of water quality products from multispectral and hyperspectral satellite observations
An Urban Information System to Assess Neighborhood Climate Risk and Daily Exposures in Cities
Developing ML models (e.g., random forests approaches) to capture climate responses in urban settings within NYC
Analysis of GES DISC datasets through NLP and TF-IDF techniques analyzing publications
Analysis of GES DISC datasets through NLP and TF-IDF techniques analyzing publications
Applying machine learning in improving parameters in the global river routing model
Applying machine learning in improving parameters in the global river routing model