Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that ...

Researchers have developed a new photonic neural network architecture that significantly improves task accuracy by leveraging the physical properties of light. Unlike traditional designs that mimic ...

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 ...