Surrogate Models for Efficient Multiscale Modeling of Composite Materials
A custom neural network architecture containing graph convolutional network (GCN) and long short-term memory (LSTM) layers was trained as a computationally efficient surrogate for…
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.
Inverse Design of Materials
Discovering new materials is typically a mix of art and science, with timelines to create and robustly test a new material mix / manufacturing method ranging from ten to twenty ye…
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…
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
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.
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.
MADI - Strategic Foresight and Knowledge Management infrastructure for ARMD/TACP/CAS
The CAS Discovery team is developing, testing and using digital infrastructure to meet the pace of expected deliverables in an automated, efficient, collaborative manner, includin…
Rover ML-based vision system
The rover uses deep neural networks perform perception, currently related to line following.
ImageLabeler
Web-based Collaborative Machine Learning Training Data Generation Tool
Oceanic cold pool detection using scatterometer winds
Use a U-Net convolutional neural network to detect oceanic cold pools in spaceborne scatterometer wind observations.
Similarity Search for Earth Science Image Archive
Self Supervised Based Learning approach to search image archives using a query image
PASSION Computer
To develop a pipeline for processing raw overlappagram (other word?) images through the various data products. To produce the final data product in a timely manner.
Instantaneous Clarity of Ambient eNvironment Capability (ICAN-C)
To determine the applicability of using AI/ML to correct obscured vision. Landing systems where sedement is blown around and/or dusty environments are the primary application.
Trajectory mission design
We use ML for a lot of different things. First, and most importantly, we use ML to estimate initial conditions for POST and Copernicus for mission design. We've also used ML for i…
TAPAS (Track Augmentation and Performance Analysis System)
TAPAS is a tool for automating the comparison of DSN telemetry data, designed to help DSN operators find potential anomalies faster and more efficiently.
Onboard Planner for Mars2020 Rover (Perseverance)
The M2020 onboard scheduler incrementally constructs a feasible schedule by iterating through activities in priority-first order.
SensorWeb: Volcano, Flood, Wildfire, and others.
The Sensor Web Project uses a network of sensors linked by software and the internet to an autonomous satellite observation response capability.