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*This blog post is a comprehensive summary of the presentation ["State of SciML"](https://www.youtube.com/watch?v=SZZ0lT8DVRo) given at JuliaCon 2024. The original slides can be found at [https://figshare.com/articles/presentation/State_of_SciML_JuliaCon2024_/26299429](https://figshare.com/articles/presentation/State_of_SciML_JuliaCon2024_/26299429).*
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As we enter 2025, the SciML Open Source organization has evolved into the world's most comprehensive ecosystem for scientific machine learning and differential equation solving. This technical report provides a detailed overview of our current state, recent achievements, and roadmap for the future.
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As we enter 2025, the SciML Open Source organization has evolved into the world's most comprehensive ecosystem for scientific machine learning and differential equation solving. This blog post provides a detailed overview of our current state, recent achievements, and roadmap for the future.
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