What distinguishes this system from conventional tools is its integration with Retrieval-Augmented Generation (RAG), a ...
Reservoir management lies at the heart of sustainable water resource systems, balancing the demands of human society with the dynamics of natural ...
ABSTRACT: This study evaluates the projected impacts of climate change on surface water availability in the Diaguiri River Basin, a sub-catchment of the Gambia River in West Africa, using the ...
The original version of this story appeared in Quanta Magazine. The Chinese AI company DeepSeek released a chatbot earlier this year called R1, which drew a huge amount of attention. Most of it ...
Abstract: This study proposes HydroCortex, a unified optimization framework for water resource management that explicitly integrates deep learning-based hydrological forecasting with constraint-aware ...
Today, most generative image models basically fall into two main categories: diffusion models, like Stable Diffusion, or autoregressive models, like OpenAI’s GPT-4o. But Apple just released two papers ...
Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...
The IAEA is launching a new research project to integrate isotope tracers into hydrological and climate modelling systems for more robust simulations of water availability. Forecasting climate and ...
Streamflow is an integral part of the hydrological cycle that is used for water resource planning and flood or drought forecasting, flood damage, and water-related risks evaluation. These aspects ...
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