-
City
Artificial Intelligence Advisory Council Meeting
City of Austin —
In June 2023, Governor Greg Abbott signed House Bill 2060 by Representative Giovanni Capriglione and Senator Tan Parker. This legislation establishes the Artificial... -
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
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
Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption
Department of Energy —
The overarching goal of the project is to create a highly efficient framework of machine learning (ML) methods that provide consistent and accurate real-time... -
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
Fuel Cell Inverter Transition Between Modes of Operation (Grid-Forming and Grid-Following)
Department of Energy —
This data set shows the operation of the fuel cell inverter under grid-forming mode of operation, grid-following mode of operation and transition between the two modes. -
Federal
2020–2024 Progress Report: Advancing Trustworthy Artificial Intelligence R&D
Networking and Information Technology Research and Development, Executive Office of the President —
This document reports current trends and examples of federal R&D investments, program information, and activities in AI that directly address the R&D... -
Federal
Programs and Code for Geothermal Exploration Artificial Intelligence
Department of Energy —
The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from... -
Federal
Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments
Department of Energy —
Active source ultrasonic data from lab experiments p5270 and p5271 including raw waveforms (WF) and mechanical data (mat). From the PSU team working on the "Machine... -
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
Workshop Data on Autonomous Methodologies for Accelerating X-ray Measurements
National Institute of Standards and Technology —
The National Institute of Standards and Technology and the International Centre for Diffraction Data co-hosted a workshop on 17-18 October 2023 to identify and... -
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... -
Compass Transparency
District of Columbia —
DC Compass uses new Generative AI technology integrated with Geographic Information Systems (GIS) to provide easy ways to explore data. -
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
Trojan Detection Software Challenge - nlp-summary-jan2022-train
National Institute of Standards and Technology —
Round 9 Train DatasetThis is the training data used to construct and evaluate trojan detection software solutions. This data, generated at NIST, consists of natural... -
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
ARC Code TI: Livingstone2
National Aeronautics and Space Administration —
Livingstone2 is a reusable artificial intelligence (AI) software system designed to assist spacecraft, life support systems, chemical plants or other complex systems... -
Federal
Salton Sea Geodatabase for Geothermal Exploration Artificial Intelligence
Department of Energy —
These files contain the geodatabases related to Salton Sea Geothermal Field. It includes all input and output files used with the Geothermal Exploration Artificial... -
Federal
Fuel Cell Inverter Dataset
Department of Energy —
This data set contains the three phase AC voltage, three phase AC current, DC voltage and DC current. These data sets were captured during fuel cell inverter... -
Federal
2016–2019 Progress Report: Advancing Artificial Intelligence R&D
Networking and Information Technology Research and Development, Executive Office of the President —
This document reports current trends and examples of Federal R&D investments, program information, and activities in artificial intelligence that directly address...