ESIP Machine Learning Cluster Initiatives and Community Efforts
Join the ESIP Machine Learning Cluster led by Dr. Ziheng Sun and Dr. Anne Wilson to educate and collaborate on machine learning in geosciences. Discover current community efforts like the Awesome-Earth-Artificial-Intelligence GitHub Repo and a review paper on AI in Earth System Sciences.
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Earth AI: Formulating ESIP Machine Learning Cluster Efforts Dr. Ziheng Sun George Mason University ESIP Machine Learning Cluster Chair Slack | Mailing List | Wiki Jan 27, 2021
Introduction ESIP Machine Learning Cluster: Dr. Anne Wilson, Founding Chair, Ronin Institute
Introduction ESIP Machine Learning Cluster: Dr. Anne Wilson, Founding Chair, Ronin Institute The original purpose is to educate ourselves about machine learning through sharing experiences and resources and asking questions.
Introduction ESIP Machine Learning Cluster: Dr. Anne Wilson, Founding Chair, Ronin Institute The original purpose is to educate ourselves about machine learning through sharing experiences and resources and asking questions. The new goal is to bring together community experiences, catalyzing ML research in geosciences, and move forward to the vision of Earth AI.
Introduction ESIP Machine Learning Cluster: Dr. Anne Wilson, Founding Chair, Ronin Institute The original purpose is to educate ourselves about machine learning through sharing experiences and resources and asking questions. The new goal is to bring together community experiences, catalyzing ML research in geosciences, and move forward to the vision of Earth AI. Disaster control, weather control, agriculture automation,..
Introduction ESIP Machine Learning Cluster: Dr. Anne Wilson, Founding Chair, Ronin Institute The original purpose is to educate ourselves about machine learning through sharing experiences and resources and asking questions. The new goal is to bring together community experiences, catalyzing ML research in geosciences, and move forward to the vision of Earth AI. Disaster control, weather control, agriculture automation,.. Vision from Galactic Empire series by Isaac Asimov
Two Community Efforts There are currently two cluster-led efforts:
Two Community Efforts There are currently two cluster-led efforts: GitHub Repo: Awesome-Earth-Artificial-Intelligence (long-term) Cluster White Paper/Journal Paper: A Review of Artificial Intelligence in Earth System Sciences (short-term)
Awesome-Earth-Artificial-Intelligence https://github.com/ESIPFed/Awesome-Earth-Artificial-Intelligence/blob/master/awesome.md Define Awesome: Real open-source license (MIT, Apache2.0, BSD 2/3, GPL, LGPL, CC0, CC-BY, etc) Projects easy to get involved with FAIR Datasets Publications that make it easy to navigate and obtain information Software: beautifully documented (markdown, README) easy to install (pip, conda, apt), great examples and tutorials API description (don t let people guess) Fully tested (automatic tests)
Awesome-Earth-Artificial-Intelligence https://github.com/ESIPFed/Awesome-Earth-Artificial-Intelligence ML-enthusiastic Scientific questions:
A Review of AI in Earth Identified ten urgent challenges to work on: Model selection Training data preparation Optimization Parallel computing Explainable AI Spatio-temporal Generalization Uncertainties Integration with Physical Models Provenance Automation (automate training/tunning/testing/deployment, a.k.a. self- learning)
An Effort of Community We welcome everyone to join in us: Machine Learning Cluster Monthly Call @ Monthly from 12pm to 1pm EST on the third Friday Mailing list: https://lists.esipfed.org/mailman/listinfo/esip-machinelearning Slack channel: https://esip-all.slack.com/archives/C013B0A8BKL Awesome-Earth-AI Github Repo: https://github.com/ESIPFed/Awesome- Earth-Artificial-Intelligence ESIPLab Geoweaver Repo: https://github.com/ESIPFed/Geoweaver
Thank You! Get in touch! Ziheng Sun zsun@gmu.edu Cindy Lin cindylky@umich.edu Megan Carter megancarter@esipfed.org Image from: https://towardsdatascience.com/can-a-robot-make-you-laugh-teaching-an-ai-to-tell-jokes-815f1e1e689c
