334 citations · 659 across the 8 of their papers we have counts for
8 papers
Design Automation of Photonic Resonator Weights
Thomas Ferreira de Lima, Eli A. Doris, Simon Bilodeau +8
Neuromorphic photonic processors based on resonator weight banks are an emerging candidate technology for enabling modern artificial intelligence (AI) in high speed, analog systems…
Nanophotonic cavity based synapse for scalable photonic neural networks
Aashu Jha, Chaoran Huang, Thomas Ferriera deLima +3
The bandwidth and energy demands of neural networks has spurred tremendous interest in developing novel neuromorphic hardware, including photonic integrated circuits. Although an o…
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…
A Laser Spiking Neuron in a Photonic Integrated Circuit
Mitchell A. Nahmias, Hsuan-Tung Peng, Thomas Ferreira de Lima +4
There has been a recent surge of interest in the implementation of linear operations such as matrix multipications using photonic integrated circuit technology. However, these appr…
Universal Adversarial Attacks with Natural Triggers for Text Classification
Liwei Song, Xinwei Yu, Hsuan-Tung Peng +1
Recent work has demonstrated the vulnerability of modern text classifiers to universal adversarial attacks, which are input-agnostic sequences of words added to text processed by c…
Noise Analysis of Photonic Modulator Neurons
Thomas Ferreira de Lima, Alexander N. Tait, Hooman Saeidi +5
Neuromorphic photonics relies on efficiently emulating analog neural networks at high speeds. Prior work showed that transducing signals from the optical to the electrical domain a…
Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs)
Viraj Bangari, Bicky A. Marquez, Heidi B. Miller +6
Convolutional Neural Networks (CNNs) are powerful and highly ubiquitous tools for extracting features from large datasets for applications such as computer vision and natural langu…
A silicon photonic modulator neuron
Alexander N. Tait, Thomas Ferreira de Lima, Mitchell A. Nahmias +4
There has been a recently renewed interest in neuromorphic photonics, a field promising to access pivotal and unexplored regimes of machine intelligence. Progress has been made on…