Photonic neural networks (PNNs), utilizing light-based technologies, show immense
potential in artificial intelligence (AI) and computing. Compared to traditional electronic …

Neuromorphic photonics is a cutting-edge fusion of neuroscience-inspired computing and
photonics technology to overcome the constraints of conventional computing architectures …

Photonic accelerators for Artificial Intelligence (AI) are rapidly advancing, promising to
provide revolutionary computational speed for modern AI architectures. By leveraging …

Conventional deep learning-based image reconstruction methods require a large amount of
training data, which can be hard to obtain in practice. Untrained deep learning methods …

The classification performance of all-optical Convolutional Neural Networks (CNNs) is
greatly influenced by components' misalignment and translation of input images in the …

We propose a magneto-optical diffractive deep neural network (MO-D^ 2NN). We simulated
several MO-D^ 2NNs, each of which consists of five hidden layers made of a magnetic …

The operation of an optical neural network via a feed-forward (FF) configuration is
experimentally simulated in the laboratory. The FF setup is tested using optical injection (OI) …

As factors such as power consumption and bandwidth constrain the development of
electronic computing in deep learning, optical neuromorphic computing has the potential to …

摘要卷积计算作为数学运算方法里的一项重要算子, 在信号处理和人工智能领域有着重要的意义
. 卷积神经网络(CNN) 作为深度学习领域最重要的网络之一, 在计算机视觉和自然语言处理等 …

Driven by the growing research enthusiasm for neuromorphic photonics, optical neurons
mimicking biological properties based on microresonant cavities and lasers are attracting …