Modeling space-time variability using multivariate semi-Bayesian hierarchical framework for seasonal total and extreme precipitation in the U.S. Northern Great Plains By Prasad Thota We adapt a ...

A novel Bayesian Hierarchical Network Model (BHNM) is designed for ensemble predictions of daily river stage, leveraging the spatial interdependence of river networks and hydrometeorological variables ...

Investing.com -- Sapient Intelligence, comprised of former AI researchers from Google (NASDAQ: GOOGL ), Anthropic, and more, has released an open-source AI model that achieves complex reasoning ...

AGI, Sudoku-Extreme, and Maze-Hard with just 1000 training examples and without pre-trainingSINGAPORE, July 21, 2025 - (ACN Newswire) - AGI research ...

The data integration model for air quality supplements ground monitoring data with information from other sources, such as satellite retrievals of aerosol optical depth and chemical transport models.