Google Earth AI is a family of geospatial AI models, together with an agent that orchestrates them. We present this agent, Google Earth AI's Geospatial Reasoning agent (GRA), a Gemini-powered research system that combines geospatial data sources, foundation models, and tools to answer questions about our planet. GRA or...
N. Slonim, Aviv Slobodkin, Gil Fidel et al.· 0 citations
The efficacy of traditional disease prediction is limited by spatial gaps and temporal lags, which impact the timing and targets of resource deployments. Outbreaks escalate undetected, chronic disease burdens are quantified years later, and at-risk populations in data-sparse regions remain unaddressed. Planetary geospa...
Arbaaz Muslim, Aviv Slobodkin, Katherine Wheeler-Martin et al.· 0 citations
WeatherNext Cyclones (WN-C), an artificial intelligence-based operational weather model that produces state-of-the-art ensemble forecasts of the track, intensity and size of tropical cyclones worldwide, can predict the track, intensity and size of tropical cyclones with an accuracy gain over leading operational models...
Ferran Alet, Tom R. Andersson, Ilan Price et al.· Nature· 8 citations
Together, WeatherNext 3's capabilities move operational AI-based weather forecasting beyond emulating the traditionally distinct stages of data assimilation, forecasting and post-processing, which helps to further push the frontier of performance and granularity for global weather prediction.
S. Rasp, B. Babenko, Dominic Masters et al.· 2 citations
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