Speaker
Dr
Peetak Mitra
(Excarta)
Description
Conventional AI/ML metrics (such as RMSE) for optimization often do not translate well for weather/climate-specific applications including for energy grid management, or modeling key physical prognostics that are driven by an underlying dynamical process. In this short talk, we will explore the importance of using domain-aware metrics for model training, post-training evaluation and eventual deployment-in-the-wild for climate-specific AI/ML software. Some of these learnings were aggregated from organizing the Tackling Climate Change with Machine Learning workshop at NeurIPS 2022 and from leading various technical projects in the industry across the TRL landscape in the AI/ML application to weather/climate.
Author
Dr
Peetak Mitra
(Excarta)
