We are a home for Earth science data and computing professionals. Our sessions bring together the community for hands-on, interdisciplinary deep dives as we explore "Innovation to Impact" this year. Learn more about ESIP: esipfed.org
This session explores AI applications in geoscience, focusing on automated data analysis workflows and deposit type classification techniques using NSAI guided by KGs. We will demonstrate how AI agents leverage open LLMs to perform mineral data analysis and showcase a neuro-symbolic approach that embeds knowledge graphs of deposit rules within neural networks to enhance mineral deposit classification accuracy.
Value to Session Participants: Participants will gain insights into scalable AI-driven workflows and the integration of NSAI guided by KGs to enhance geochemical-based deposit type classification, exploring practical applications for automating data analysis and enhancing classification in geoscience and beyond.
Recommended Ways to Prepare: We will provide a Jupyter Notebook demo for our audience to interact with.
