Challenges 2019

2 months ago
Deadline extended.
Register by July 14 for the Data Challenge hosted by the Smoky Mountains Computational Sciences and Engineering Conference. Teams will tackle real research data challenges. To learn more or register, visit the @SciDatathon website: https://t.co/DWvjHY0ofb https://t.co/trlMIcrjI0
SciDatathon photo
5 months ago
Olumide Kayode, Ali Saman Tosin of team "data investigator" from @UTSanAntonio developed visualization and regression algorithms to understand the impact of urban weather on energy use. See more here: https://t.co/xQn0y1kYQV
5 months ago
Team 7pod applied machine learning & visualization techniques to predict energy consumption and understand the impact of Urban weather on Energy use. Demonstrated here: https://t.co/hguxT4G68H #smartgrid #BigData #DataChallenge @ORNL #SciDatathon
5 months ago
Team “keyboard mashers” developed "structured deep scan" for analyzing Bragg peaks to discover features in Sr14Cu24O41. Have a look at their method here: https://t.co/Rxnwu0ngDv #DataMining #BigData #MaterialScience #MachineLearning #AI @ORNL #SciDatathon
5 months ago
Team “fly away with me” developed algorithms for mass spectrometry analysis for LiNbO3 hierarchical data with MATLAB. More on her analyses here: https://t.co/kV4z50Sd2X #MaterialScience #BigData #DataChallenge @ORNL #SciDatathon
5 months ago
Colglazier @GeorgiaTech , Dash @virginia_tech, Zheng @Illinois_Alma & Gahlot @illinoistech used deep learning to analyze the impact of Urban weather on Energy use. See more here: https://t.co/NZrLwigvXL
#smartgrid #BigData #DataChallenge #deeplearning @ORNL #SciDatathon