Researchers from MIT and Stanford University have devised a new machine-learning approach that could be used to control a robot, such as a drone or autonomous vehicle, more effectively and efficiently ...

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 ...

Electric motors are central to South Africa’s mining operations – powering fans, pumps, conveyors and other essential ...

Le but du machine learning est de permettre aux machines d'apprendre et de s'améliorer de manière autonome. Cela se fait en leur fournissant des données sur lesquelles elles peuvent s'entraîner. Les ...