A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...

Highspeed Internet, autonomous driving, the Internet of Things: data streams are proliferating at enormous speed. But classic ...

Abstract: Physics-informed neural networks (PINNs) offer a flexible framework for solving differential equations using physical constraints and data. This study focuses on second-order ...

Abstract: In this study, we propose a power device configuration that maximizes the inverter efficiency of a pulse-width-controlled high-power wireless power transfer system. Silicon carbide ...