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 the ML challenge and an invitation for leading contributors to a joint publication.
Daily talks 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:

(i) Fundamentals of data-driven tools, (ii) Generative ML, (iii) Physics-informed ML, and (iv) AI for Science.

Eligibility Criteria

We invite Computational, Fluid Dynamics, Combustion, Environmental , or AI/ML researchers worldwide to join us at this virtual workshop. Pre-register for future info on the technical program.

Dates

Sept. 23 to Oct. 18 2024

Website (for info on technical program)

https://flame-ai-workshop.github.io/

Contact us at

flame.ai.workshop@gmail.com