HydroML 2024 Symposium
Join PNNL at the forum for integrating artificial intelligence and machine learning with earth system science
May 29–31, 2024
Richland, Washington
Join PNNL at the forum for integrating artificial intelligence and machine learning with earth system science
Richland, Washington
The HydroML Symposium will explore how emerging artificial intelligence (AI) and machine learning (ML) concepts and capabilities, including data-driven ML, physics-informed ML, the application of large language models (LLMs), and generative AI, can be used to enhance the predictive understanding of hydrological processes and their interactions with broader Earth systems.
Registration is now open! Additional details are available on the symposium website.
Xingyuan Chen, Chaopeng Shen
Andrew Bennett, Tirthankar Chakraborty, Yunxiang Chen, Zhuoran Duan, Dipankar Dwivedi, Uwe Ehret, Kathryn Lawson, Galen Gorski, Hoshin Gupta, Peishi Jiang, Hernan Moreno, Leila Hernandez Rodriguez, Tirthankar Roy, Yuan-Heng Wang, Yang Yang