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Federal
Trojan Detection Software Challenge - nlp-question-answering-sep2021-test
Department of Commerce —
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
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
Challenge Round 0 (Dry Run) Test Dataset
Department of Commerce —
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
Trojan Detection Software Challenge - nlp-question-answering-sep2021-holdout
Department of Commerce —
Round 8 Holdout DatasetThis is the training data used to construct and evaluate trojan detection software solutions. This data, generated at NIST, consists of natural... -
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
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
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
Trojan Detection Software Challenge - nlp-summary-jan2022-train
Department of Commerce —
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
Semi-Supervised-Learning-for-Diffraction
Department of Commerce —
This is a repository for using semi-supervised learning to classify diffraction patterns -
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
Appendices for Geothermal Exploration Artificial Intelligence Report
Department of Energy —
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect... -
Federal
National Strategic Computing Initiative Update: Pioneering the Future of Computing
Networking and Information Technology Research and Development, Executive Office of the President —
The National Strategic Computing Initiative Update builds on the 2016 Strategic Computing Plan to enable focused and collaborative research, development, and... -
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
Living Clinical Guidelines for Infection-Associated Chronic Conditions and Illnesses (IACCIs)
U.S. Department of Health & Human Services —
Join HHS and LymeX collaborators in the Living Clinical Guidelines for IACCIs ecosystem to cocreate solutions with patients as partners for Long COVID, Lyme disease,... -
Federal
Workshop Data on Autonomous Methodologies for Accelerating X-ray Measurements
Department of Commerce —
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...