The world’s most powerful supercomputers can now run simulations of billions of neurons, and researchers hope such models ...

Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...

Abstract: Learning dynamical networks based on time series of nodal states is of significant interest in systems science, computer science, and control engineering. Despite recent progress in network ...

Abstract: The collaboration among multiple uncrewed aerial vehicles (UAVs) can overcome the limitation of spatial sensing capabilities of individual UAVs has attracted extensive attention in the field ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...