Mission

To foster a dynamic forum for exchanging ideas, cutting-edge data, advanced methods, and models related to ML techniques for fluid dynamics, turbulence, and environmental science - applications crucial to the development of sustainable energy solutions, climate resilience, wildfire mitigation, and safety systems.

Agenda

A four-week long ML challenge (involving 1-2 person(s) per team) will be held to tackle ML-challenges in predicting spatio-temporal and dynamical processes in physical sciences, environmental flows, and engineering with open-source data.
- Prize: Total of $5000 for winning teams of ML challenge and an invitation for leading contributors to a joint publication.
Invite talks and keynote lectures on cutting-edge trends will be given by AI/ML experts within Stanford, academic guests, and industry partners from the Greater Silicon Valley ecosystem. Topics include:

topics