Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

New research shows Americans' economic circumstances shape their democratic values more than political ideology when forced ...

AI has evolved significantly, shifting from narrow, task-specific automation to advanced Cognitive Intelligence Platforms ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

Historically, capturing spaces with Polycam was restricted to users with more expensive iPhone Pro and iPad Pro devices ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Road networks are critical public assets that must be monitored, modeled, and maintained with rigor and efficiency. As agencies face heavier traffic, ...

Advancements in Building Energy Modeling This year’s Building Simulation conference really dug into how we can make ...