T245 Machine Learning for Advancing Data Analysis Toolkit in Geoscience

Wednesday, 13 October 2021
1:30 PM - 5:30 PM
B113/B114 (Hybrid Room)

GEOWEAVER: OPEN NEW DOOR TO INTUITIVE MANAGEABLE AI WORKFLOW FOR GEOSCIENTISTS

Paper number: T245-9
Program: Technical Sessions
Time: 3:20 PM – 3:35 PM

Authors

Abstract

AI/ML is having a long prospective development in almost every corner of the science community. However, making AI/ML actually work in solving geoscientific problems is still problematic and troublesome. One of the major obstacles is the high barrier of entry and the huge burden laid on the shoulder of AI practitioners. Although it is relatively easy to learn the off-the-shelf AI/ML models, it is a big obligation to operationally construct and manage a working full-stack AI workflow, containing all the steps from pre-processing Earth observations into AI-ready format, train and test and deploy the models, and post-processing the model results into useful information. To make full-stack AI workflow easy to manage and maintain and lower the barrier of entry for geoscientists to get on board, we present a software, GeoWeaver, which can help people to intuitively compose full-stack AI workflow, execute and manage the provenance, accelerate the transition from research to operation, minimize the coding efforts, and eventually open a new door to AI for geoscientists, who think they are NOT fit for AI, to utilize AI techniques in their research easily and successfully.

Geological Society of America Abstracts with Programs. Vol. 53, No. 6

doi: 10.1130/abs/2021AM-368472

© Copyright 2021 The Geological Society of America (GSA), all rights reserved. Permission is hereby granted to the author(s) of this abstract to reproduce and distribute it freely, for noncommercial purposes. Permission is hereby granted to any individual scientist to download a single copy of this electronic file and reproduce up to 20 paper copies for noncommercial purposes advancing science and education, including classroom use, providing all reproductions include the complete content shown here, including the author information. All other forms of reproduction and/or transmittal are prohibited without written permission from GSA Copyright Permissions.