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MultiEarth 2022 – Multimodal Learning for Earth and Environment Workshop and Challenge [article]

Miriam Cha, Kuan Wei Huang, Morgan Schmidt, Gregory Angelides, Mark Hamilton, Sam Goldberg, Armando Cabrera, Phillip Isola, Taylor Perron, Bill Freeman, Yen-Chen Lin, Brandon Swenson (+1 others)
2022 arXiv   pre-print
The Multimodal Learning for Earth and Environment Challenge (MultiEarth 2022) will be the first competition aimed at the monitoring and analysis of deforestation in the Amazon rainforest at any time and  ...  The goal of the Challenge is to provide a common benchmark for multimodal information processing and to bring together the earth and environmental science communities as well as multimodal representation  ...  Newey for helping the team labeling the August 2021 time slice data, and Scale AI, for its efforts to label, in a short period of time, the remaining ten time slices considered in this MultiEarth2022.  ... 
arXiv:2204.07649v3 fatcat:j25ualr5zfeqlk6r7qvs6q7fs4

Developing a Series of AI Challenges for the United States Department of the Air Force [article]

Vijay Gadepally, Gregory Angelides, Andrei Barbu, Andrew Bowne, Laura J. Brattain, Tamara Broderick, Armando Cabrera, Glenn Carl, Ronisha Carter, Miriam Cha, Emilie Cowen, Jesse Cummings (+30 others)
2022 arXiv   pre-print
These challenges target priorities by making large, AI-ready datasets publicly available, incentivizing open-source solutions, and creating a demand signal for dual use technologies that can stimulate  ...  In this article, we describe these public challenges being developed and how their application contributes to scientific advances.  ...  Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein.  ... 
arXiv:2207.07033v1 fatcat:lljc5zf3rbctvdboan4gx7fuje