Ever‐growing demands of bandwidth, computing speed, and power consumption are now
accelerating the transformation of computing research, as work‐at‐home becomes a new …

Micro‐and nanolasers are emerging optoelectronic components with many properties still to
be explored and understood. On the one hand, they make it possible to address …

Abstract 2D metal carbides and nitrides (MXene) are promising material platforms for on‐
chip neural networks owing to their nonlinear saturable absorption effect. The localized …

Photonic crystal cavities enable strong light–matter interactions, with numerous applications,
such as ultra-small and energy-efficient semiconductor lasers, enhanced nonlinearities and …

Optical neural networks (ONNs) are particularly advantageous owing to their inherent
parallelism and low energy consumption. However, one of the obstacles to the …

A programmable hardware implementation of all-optical nonlinear activation functions for
different scenarios and applications in all-optical neural networks is essential. We …

We experimentally demonstrate two types of programmable, low-threshold, optically
controlled nonlinear activation functions, which are challenging to realize in photonic neural …

Nonlinear optical processing of ambient natural light is highly desired for computational
imaging and sensing. Strong optical nonlinear response under weak broadband incoherent …

Optics and photonics have recently captured interest as a platform to accelerate linear matrix
processing, otherwise a bottleneck in traditional digital electronics. In this paper we propose …

The realization of optical nonlinear activation functions (NAFs) is essential for integrated
optical neural networks (ONNs). Here, we propose and experimentally demonstrate a …