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

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

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

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

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

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

Artificial intelligence speaks as if the destination were always known, tempting us to mistake arrival for understanding.

We know the genes, but not their functions—to resolve this long-standing bottleneck in microbial research, a joint research ...

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...

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

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

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...