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Unlocking Earth AI’s planetary geospatial foundation models for global public health
Our short summary of Google’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on research.google (opens in a new tab)Problem
Public health data is slow, sparse, and split by borders, slowing response to outbreaks.
Solution
Created a planetary geospatial foundation model that turns satellite, mobility, and search signals into monthly location embeddings, which can be dropped into existing health models without extra training.
Embeddings matched or improved conventional inputs across many disease tasks
Research behind this, on AI Papers DailyBasin2Vec: Learning Basin-Centric Embeddings for Scalable Hydrological Modeling
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on research.google (opens in a new tab)