Stanford FLAME AI Workshop 2027

Mission

To foster a dynamic forum for exchanging ideas, cutting-edge data, and AI for science - applications crucial to the development of sustainable energy solutions, climate resilience, wildfire mitigation, and safety systems. In particular, we are interested in making advancements in fluid dynamics problems involving reacting flows, turbulence, and environmental processes.

Agenda

1. 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.

2. Daily talks on cutting-edge trends will be given by AI/ML experts within Stanford, academic guests, and industry partners from the field.

Eligibility Criteria

Competitors with experience in computational, fluid dynamics, combustion, environmental, and AI/ML research worldwide to join us at this virtual workshop. While experience is helpful, anyone is welcome to participate in the competition and attend the lectures.

Pre-register for future info on the technical program.

Participation in lectures and competition is FREE.

Dates

February 1-26, 2027

Website (for info on technical program)

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

Contact us at

flame.ai.workshop@gmail.com