In a world where urban traffic congestion and environmental concerns are escalating, innovative solutions are crucial for creating sustainable and efficient transportation systems. A groundbreaking ...

Wildfires have grown more frequent and destructive, making early detection critical to saving lives, property, and natural resources. At the same time, autonomo ...

Distributed model predictive control (DMPC) offers a computationally efficient alternative to centralized model predictive control (CMPC) for enabling the optimal control of industrial process systems ...

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning models using shared data without compromising privacy. AWS has rolled out ...

Researchers have developed a machine learning approach that can optimize the treatment of livestock manure and predict how ...

The findings also revealed that more training data does not automatically mean better performance. In some situations, a ...