The explosive growth of data and information has motivated various emerging non-von
Neumann computational approaches in the More-than-Moore era. Photonics neuromorphic …

We proposed and experimentally demonstrated a simple and novel photonic spiking neuron
based on a distributed feedback (DFB) laser chip with an intracavity saturable absorber …

Spiking neural networks (SNNs) utilize brain-like spatiotemporal spike encoding for
simulating brain functions. Photonic SNN offers an ultrahigh speed and power efficiency …

Humidity sensing plays an important role in the professional field and our daily life, such as
chemical preparation process, environmental monitoring, and food storage. Herein, a …

Recently, wearable sensor technology has drawn attention to many health-related
appliances due to its varied existing optical, electrical, and mechanical applications …

Photonic neuromorphic computing has emerged as a promising avenue toward building a
high-speed, low-latency, and energy-efficient non-von-Neumann computing system …

We propose a modified supervised learning algorithm for optical spiking neural networks,
which introduces synaptic time-delay plasticity on the basis of traditional weight training …

We proposed and experimentally demonstrated a simple and novel photonic spiking neuron
based on a distributed feedback (DFB) laser subject to side-mode optical pulse injection …

Photonic neuromorphic computing is a promising paradigm for next-generation high-speed
and energy-efficient computing. Photonic neurons, as the key components to empower …

脑科学与类脑研究是国际必争战略性前沿. 人工智能与深度学习的飞速发展对算力提出了迫切
需求. 而传统的冯诺依曼架构, 由于存算分离导致功耗墙和内存墙, 摩尔定律也逐渐放缓 …