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 ...

Get started with our quickstart.ipynb notebook, which provides an interactive introduction to the MPTS approach using the sinusoid regression scenario. MPTS and the predictive sampling paradigm have ...

Golfers play East Potomac's fifth hole as trucks unload debris and soil from the demolition of the White House's East Wing on Oct. 24. Tasos Katopodis / Getty Images The Trump administration has ...

Abstract: Driven by growing concerns over global energy consumption, improving energy efficiency in the manufacturing sector is increasingly vital, especially for energy-intensive batch processes.

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Abstract: In the process industries, nonlinear and large time-delay systems pose significant challenges for efficient model predictive control (MPC). The advent of deep learning offers innovative ...

This study aims to propose an innovative teaching model for Internal Control courses, integrating course ideology and game theory perspectives to enhance learning engagement. The developed ...

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