Deep Learning Inhale Breath Detection Model to Support CO2 Washout Suit TestingInspired CO2 Algorithm for Respiration User Signals (ICARUS): A Deep Learning Model to Enable Real-Time and Post-Test ppCO2 Inspired Calculations
A Deep Learning Recurrent Neural Network (RNN) Long Short Term Memory (LSTM) model is being developed for determining the start and end of inhale breaths for CO2 washout suit test…
SVM Classification of Write-in Topics from MSD Customer Sat Survey
Support Vector Machine used to analyze write-in feedback from annual NASA MSD Customer Sat Survey, to classify comments into roughly 30 topics for visualization by Voice of the Cu…
Solar Sail Shape Reconstruction
The intended use of this model is to predict the shape of a solar sail in flight.
ATLAS
Atlas is a RAG-based solution for answering questions about NASA standards, directives, and Space Act Agreements. It uses publicly available NASA standards, directives and Space A…
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…
Hierarchical U.N. Standard Product and Service Code Classification through logistic regression with the scikit-learn library
Aid in UNSPSC classification** of SEWP Contract Line Item Numbers (CLIN).
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…
General AI LLM Chatbot for NASA CUI Data: Accelerated Langley Transformation Initiative Research Assistant (ALTIRA)
Accelerated Langley Transformation Initiative Research Assistant (ALTIRA) is an artificial intelligence (AI) chatbot planned for general-purpose use for processing NASA CUI (not I…
Aerial AId: Visual data processing with AI in emergency scenarios for quick decision making
The Aerial AId activity enables the use of perception engines – primarily classification and object detection algorithms – in small uncrewed aerial systems (sUAS) for sUAS medical…
Implement machine learning in NMIS to assist with mishap coding
Leverage Machine Learning to train computers to review mishap and close call data in NMIS to suggest event coding characteristics to help mishap program managers classify events m…
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