Tech Xplore on MSN
Algorithm captures nonlinear climate dynamics to optimize air-conditioning energy use
Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
AZoCleantech on MSN
New Framework for Predicting TAIs in Hydrogen Combustion
Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...
Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...
Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...
PsyPost on MSN
Fascinating new neuroscience model predicts intelligence by mapping the brain’s internal clocks
A new study suggests that the brain processes information with high efficiency by synchronizing the physical wiring of neural ...
A new technical paper titled “Deep-learning atomistic semi-empirical pseudopotential model for nanomaterials” was published ...
News Medical on MSN
Biomimetic brain modeling mirrors animal learning and neural dynamics
A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...
The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...
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