18 citations · 29 across the 7 of their papers we have counts for
7 papers
Compact, Large-Scale Photonic Neurons by Modulation-and-Weight Microring Resonators
Weipeng Zhang, Yuxin Wang, Joshua C. Lederman +2
Neuromorphic photonics promises sub-nanosecond latency, ultrawide bandwidth, and high parallelism, but practical scalability is constrained by fabrication tolerances, spectral alig…
Roadmap on Neuromorphic Photonics
Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147
This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…
Online training and pruning of multi-wavelength photonic neural networks
Jiawei Zhang, Weipeng Zhang, Tengji Xu +5
CMOS-compatible photonic integrated circuits (PICs) are emerging as a promising platform in artificial intelligence (AI) computing. Owing to the compact footprint of microring reso…
Neuromorphic Photonic Computing with an Electro-Optic Analog Memory
Sean Lam, Ahmed Khaled, Simon Bilodeau +5
In neuromorphic photonic systems, device operations are typically governed by analog signals, necessitating digital-to-analog converters (DAC) and analog-to-digital converters (ADC…
Control-free and efficient integrated photonic neural networks via hardware-aware training and pruning
Tengji Xu, Weipeng Zhang, Jiawei Zhang +8
Integrated photonic neural networks (PNNs) are at the forefront of AI computing, leveraging on light's unique properties, such as large bandwidth, low latency, and potentially low…
Interfacing spiking VCSEL-neurons with silicon photonics weight banks towards integrated neuromorphic photonic systems
Matěj Hejda, Eli A. Doris, Simon Bilodeau +5
Spiking neurons and neural networks constitute a fundamental building block for brain-inspired computing, which is posed to benefit significantly from photonic hardware implementat…
Emerging Devices and Packaging Strategies for Electronic-Photonic AI Accelerators
Nicola Peserico, Thomas Ferreira De Lima, Paul R. Prucnal +1
The field of mimicking the structure of the brain on a chip is experiencing interest driven by the demand for machine intelligent applications. However, the power consumption and a…