1.7k citations · 4.3k across the 28 of their papers we have counts for
8 papers · 1 filter
Silicon Photonic Architecture for Training Deep Neural Networks with Direct Feedback Alignment
Matthew J. Filipovich, Zhimu Guo, Mohammed Al-Qadasi +6
There has been growing interest in using photonic processors for performing neural network inference operations; however, these networks are currently trained using standard digita…
Silicon photonic-electronic neural network for fibre nonlinearity compensation
Chaoran Huang, Shinsuke Fujisawa, Thomas Ferreira de Lima +12
In optical communication systems, fibre nonlinearity is the major obstacle in increasing the transmission capacity. Typically, digital signal processing techniques and hardware are…
Photonic spiking neural networks and CMOS-compatible graphene-on-silicon spiking neurons
Aashu Jha, Chaoran Huang, Hsuan-Tung Peng +2
Spiking neural networks are known to be superior over artificial neural networks for their computational power efficiency and noise robustness. The benefits of spiking coupled with…
Sub-Nyquist Sampling with Optical Pulses for Photonic Blind Source Separation
Taichu Shi, Yang Qi, Weipeng Zhang +2
We proposed and demonstrated an optical pulse sampling method for photonic blind source separation. It can separate large bandwidth of mixed signals by small sampling frequency, wh…
Wideband photonic blind source separation with optical pulse sampling
Taichu Shi, Yang Qi, Weipeng Zhang +3
We propose and experimentally demonstrate an optical pulse sampling method for photonic blind source separation. The photonic system processes and separates wideband signals based…
A Photonic-Circuits-Inspired Compact Network: Toward Real-Time Wireless Signal Classification at the Edge
Hsuan-Tung Peng, Joshua Lederman, Lei Xu +5
Machine learning (ML) methods are ubiquitous in wireless communication systems and have proven powerful for applications including radio-frequency (RF) fingerprinting, automatic mo…
Prospects and applications of photonic neural networks
Chaoran Huang, Volker J. Sorger, Mario Miscuglio +13
Neural networks have enabled applications in artificial intelligence through machine learning, and neuromorphic computing. Software implementations of neural networks on convention…
Silicon microring synapses enable photonic deep learning beyond 9-bit precision
Weipeng Zhang, Chaoran Huang, Hsuan-Tung Peng +6
Deep neural networks (DNN) consist of layers of neurons interconnected by synaptic weights. A high bit-precision in weights is generally required to guarantee high accuracy in many…