62 datasets found
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Federal
Processed Lab Data for Neural Network-Based Shear Stress Level Prediction
Department of Energy —
Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic... -
Federal
INTEGRATE - Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements
Department of Energy —
The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design... -
Federal
GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources
Department of Energy —
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal... -
Federal
ns-3 ORAN Module
National Institute of Standards and Technology —
This module for ns-3 implements the classes required to model a network architecture based on the O-RAN Alliance's specifications. These models include a Radio Access... -
Federal
ANDiE: the Autonomous Neutron Diffraction Explorer.
National Institute of Standards and Technology —
ANDiE the Autonomous Neutron Diffraction Explorer is a tool for autonomously discovering the magnetic transition temperature and transition dynamics of a material... -
Federal
Split Phase Inverter Data
Department of Energy —
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation... -
Federal
Utah FORGE 6-3712: Report on Building a Recurrent Neural Network Framework for Induced Seismicity - October, 2025
Department of Energy —
This is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the... -
Federal
Towards a Structured Evaluation Methodology for Artificial Intelligence Technology (SEMAIT) MIg analyZeR (mizr) Package
National Institute of Standards and Technology —
Our work towards a Structured Evaluation Methodology for Artificial Intelligence Technology (SEMAIT) aims to provide plots, tools, methods, and strategies to extract... -
Federal
NITRD NewsLetter - July 2018
Networking and Information Technology Research and Development, Executive Office of the President —
Welcome to the July 2018 issue of the NITRD Leads IT quarterly newsletter of the Networking and Information Technology Research and Development Program. "Serving as... -
Federal
Challenge Round 0 (Dry Run) Test Dataset
National Institute of Standards and Technology —
This dataset was an initial test harness infrastructure test for the TrojAI program. It should not be used for research. Please use the more refined datasets... -
Federal
Deep learning classification of landforms from lidar-derived elevation models in the glaciated portion of the northern Delaware River Basin of New Jersey, New York, and Pennsylvania
Department of the Interior —
The Delaware River Basin (DRB) covers portions of five states (Delaware, Maryland, New Jersey, New York, and Pennsylvania) and several geologic provinces,... -
Federal
Training and validation data from the AI for Critical Mineral Assessment Competition (ver. 2.0, July 2025)
Department of the Interior —
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort.... -
Federal
Blog | Health Tech Sprint Aims at Improving Care Access and Experience
U.S. Department of Health & Human Services —
This blog post was posted by Kristen Honey, PhD, on November 5, 2018. It was written by Gil Alterovitz, PhD, Justin Koufopoulos, and Kristen Honey, PhD. -
Federal
Semi-Supervised-Learning-for-Diffraction
National Institute of Standards and Technology —
This is a repository for using semi-supervised learning to classify diffraction patterns -
Federal
Desert Peak Geodatabase for Geothermal Exploration Artificial Intelligence
Department of Energy —
These files contain the geodatabases related to the Desert Peak Geothermal Field. It includes all input and output files used in the project. The files include data... -
Federal
Trojan Detection Software Challenge - nlp-question-answering-sep2021-test
National Institute of Standards and Technology —
Round 8 Test DatasetThis is the training data used to construct and evaluate trojan detection software solutions. This data, generated at NIST, consists of natural... -
Federal
Deep Video Understanding (DVU) Dataset
National Institute of Standards and Technology —
The DVU dataset consists of 10 creative common movies for training and 4 creative common movies for testing used in the Deep Video Understanding grand challenges in... -
Federal
Neural Network Calculator for Designing Trojan Detectors
National Institute of Standards and Technology —
This is software that has the purpose of a web-based interactive neural network (NN) calculator with a NN inefficiency measurement. The software has been developed... -
Federal
Data Arrays for Microearthquake (MEQ) Monitoring using Deep Learning for the Newberry EGS Sites
Department of Energy —
The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to... -
Federal
Utah FORGE 6-3712: Report on a Data Foundation for Real-Time Identification of Microseismic Events
Department of Energy —
This submission is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report...
62 datasets found