On-Chip Optical Convolutional Neural Networks 来自 Semantic Scholar 喜欢 1 阅读量: 890 作者:H Bagherian,S Skirlo,Y Shen,H Meng,M Soljacic 摘要: Convolutional Neural Networks (CNNs) are a class of Artificial Neural Networks(ANNs) that employ the method of convolving input images with filter-...
ReadPaper是粤港澳大湾区数字经济研究院推出的专业论文阅读平台和学术交流社区,收录近2亿篇论文、近2.7亿位科研论文作者、近3万所高校及研究机构,包括nature、science、cell、pnas、pubmed、arxiv、acl、cvpr等知名期刊会议,涵盖了数学、物理、化学、材料、金融、计算机
The on-chip learning of the convolutional neural network module implements a synaptic function by using a characteristic which the conductance of a memristor changes according to an applied pulse, and the convolutional kernel value or synaptic weight value is stored in a memristor unit; the input ...
Convolutional neural networks are an important category of deep learning, currently facing the limitations of electrical frequency and memory access time in massive data processing. Optical computing has been demonstrated to enable significant improvements in terms of processing speeds and energy efficiency....
Fig. 1: Schematic and logic diagram of on-chip diffractive optical neural network (DONN). aSchematic of an on-chip DONN, each diffractive unit on a given layer acts as a secondary wave source, the amplitude and phase of which are determined by the product of the input wave and the compl...
英国皇家化学会出版的微型化研究领域期刊Lab on a Chip近日发表了主题为「微流控中的人工智能」(AI in Microfluidics) 的专题合辑,由本刊编委会成员东京大学Keisuke Goda 合田圭介教授、美国佐治亚理工Hang Lu教授、华中科技大学费鹏...
The apparatus includes an analog integrated circuit chip having a Convolutional Neural Network (CNN). The CNN includes a two-dimensional (2D) array of analog elements arranged in columns and rows and being configured to simultaneously provide a plurality of outputs by duplicating a same connection ...
This paper presents a configurable convolutional neural network accelerator (CNNA) for a system-on-chip (SoC). The goal was to accelerate inference in different deep learning networks on an embedded SoC platform. The presented CNNA has a scalable architecture that uses high-level synthesis (HLS) ...
Spectral convolutional neural network chip for in-sensor edge computing of incoherent natural light Kaiyu Cui Shijie Rao Shengjin Wang Nature Communications (2025) Quantum-limited stochastic optical neural networks operating at a few quanta per activation Shi-Yuan Ma Tianyu Wang Peter L. McMahon ...
Compact, lightweight, and on-chip spectrometers are required to develop portable and handheld sensing and analysis applications. However, the performance of these miniaturized systems is usually much lower than their benchtop laboratory counterparts due to oversimplified optical architectures. Here, we deve...