When severe weather strikes, the National Weather Service's (NWS) Office of Water Prediction (OWP) makes critical flood forecasts with the National Water Model. Despite improvements over time, the ...
Climate change and its severe health impacts raise serious concerns about climate justice. To measure a population’s vulnerability to climate change, researchers often apply indicator-based composite ...
A precise streamflow forecast is crucial in hydrology for flood alerts, water quantity and quality management, and disaster preparedness. Machine learning (ML) techniques are commonly employed for ...
Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt ...
As organizations invest billions of dollars in artificial intelligence, most still struggle to translate those investments into measurable results. Researchers at Carnegie Mellon University’s Software ...
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