247 citations · 725 across the 8 of their papers we have counts for
8 papers
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…
Tutorial: Photonic Neural Networks in Delay Systems
D. Brunner, B. Penkovsky, B. A. Marquez +3
Photonic delay systems have revolutionized the hardware implementation of Recurrent Neural Networks and Reservoir Computing in particular. The fundamental principles of Reservoir C…
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…
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…
Takens-inspired neuromorphic processor: a downsizing tool for random recurrent neural networks via feature extraction
Bicky A. Marquez, Jose Suarez-Vargas, Bhavin J. Shastri
We describe a new technique which minimizes the amount of neurons in the hidden layer of a random recurrent neural network (rRNN) for time series prediction. Merging Takens-based 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…