Abstract: Modeling of a larger mechanical system is inherently difficult due to the complexity of individual processes and the interaction between multiple processes. Using a polynomial model based on ...

What do you get when you mix fire's power, electricity's reach, math's precision, and language's connection? AI—humanity's ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

Sandia National Labs today released an update on its neuromorphic computing research, reporting that these systems, inspired ...

Earthquakes happen daily, sometimes with devastating consequences, yet predicting them remains out of reach. What scientists ...

Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering ...

New math model controls biological noise at single-cell level, offering a path to tackle cancer relapse and drug resistance.

Why does cancer sometimes recur after chemotherapy? Why do some bacteria survive antibiotic treatment? In many cases, the answer appears to lie not in genetic differences, but in biological noise - ...

Abstract: Model predictive control (MPC) has been deemed as an attractive control method in motor drives by virtue of its simple structure, convenient multi-objective optimization, and satisfactory ...

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