Most AI strategies are vocabulary, not capability. A study of quality management from the nineties named the pattern long ...

That approach reflects a broader change in the market. Open-weight models, which can be downloaded, tuned and run by ...

India's manufacturing sector is entering a new phase where competitive advantage is shaped not just by production capacity, ...

A real-world smart office study shows how neural network lighting control can reduce energy use and support adaptive building ...

Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...

Optimized control-system architecture comes with many production benefits. One of the tools for doing this is to perform a ...

Ocius Technology is collaborating with the University of New South Wales (UNSW) Canberra to advance control systems for its Bluebottle unmanned surface vehicle (USV).

Spanish control systems specialist Sunner has launched True Wind, a predictive monitoring system that detects wind-induced ...

Abstract: In this technical note, we propose a model predictive control (MPC) framework for switched piecewise-affine (PWA) systems under dwell-time constraints, with guaranteed recursive feasibility ...

To enhance the automation and efficiency of combine harvesters, this paper proposes a predictive control method based on Long Short-Term Memory (LSTM) neural networks. The method integrates ...

The sense of agency and the experience of fatigue are usually treated as separate constructs: one concerning perceived control over action, the other reflecting subjective energetic state. However, ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...