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Stanford FLAME AI Workshop, 2024

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Virtual (https://flame-ai-workshop.github.io/)
stanford, united states
Stanford FXLab, PI: Prof. Matthias Ihme
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Mon, Sep 23, 9am - Oct 18, 5pm PDT

Event description

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

  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 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

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Virtual (https://flame-ai-workshop.github.io/)
stanford, united states