Researchers at University of Southern California and University of Pennsylvania recently introduced a new nonlinear dynamical modeling framework based on recurrent neural networks (RNNs) that ...

Throughout their everyday lives, humans are typically required to make a wide range of decisions, which can impact their well ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Kanter. "In artificial neural networks, each object needs its own output unit to be recognized, whereas the brain can use one neuronal output, where its activity as a function of time differentiates ...