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, ...

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

The U.S. Army is formalizing a new career path that allows officers to specialize in artificial intelligence and machine ...

A new career path for Army officers that focuses on AI further cements the service’s shift toward cutting-edge technology and ...

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

New CLASSIC technique uses AI and massive DNA libraries to predict genetic circuit performance faster and more accurately.

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their applications in improving industrial efficiency and flexibility. It also ...

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