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Bridging the Gap Between Physical Numerical Simulations and Machine Learning: Introducing The Well
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17Thomas Sumner
ThomasSumner
AI & ML interests
I'm a science communicator, editor and journalist in New York City. I oversee editorial content for the Simons Foundation and its Flatiron Institute, including groundbreaking work in machine learning.
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Bridging the Gap Between Physical Numerical Simulations and Machine Learning: Introducing The Well
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New Datasets Will Train AI Models To Think Like Scientists
The Polymathic AI team has released two massive datasets for training artificial intelligence models to tackle problems across scientific disciplines. The datasets — accessible on HuggingFace — include data from dozens of sources, including astrophysics, biology, fluid dynamics, acoustics and chemistry.
Full announcement here: https://www.simonsfoundation.org/2024/12/02/new-datasets-will-train-ai-models-to-think-like-scientists/
Polymathic AI Hugging Face Org: https://huggingface.co/polymathic-ai
reacted
to
their
post
with 👍
about 1 month ago
New Datasets Will Train AI Models To Think Like Scientists
The Polymathic AI team has released two massive datasets for training artificial intelligence models to tackle problems across scientific disciplines. The datasets — accessible on HuggingFace — include data from dozens of sources, including astrophysics, biology, fluid dynamics, acoustics and chemistry.
Full announcement here: https://www.simonsfoundation.org/2024/12/02/new-datasets-will-train-ai-models-to-think-like-scientists/
Polymathic AI Hugging Face Org: https://huggingface.co/polymathic-ai
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