Geoweaver: Connecting Dots for Artificial Intelligence in Geoscience
Abstract
AI has resurfaced in the tide of the current technical evolution and become one of the hottest collaborative research areas with no doubt. However, the challenge posed by AI to the geoscientists is also huge. The AI models come from computer science and have many things incompatible with the established geoscientific world. It has been an important research task for geoscientists to learn about the differences, and find solutions to connect scattered resources, fill in the data gaps, and replicate the success of AI in geoscientific missions. This work proposes a new workflow management system, so called Geoweaver, to assist in the mission and accelerating the fusion of AI and geoscience by automating the pre-processing of Earth data, training AI models and post-processing AI results into formal products.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2020
- Bibcode:
- 2020AGUFMIN011..02S
- Keywords:
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- 1912 Data management;
- preservation;
- rescue;
- INFORMATICS;
- 1916 Data and information discovery;
- INFORMATICS;
- 1942 Machine learning;
- INFORMATICS;
- 1960 Portals and user interfaces;
- INFORMATICS