82 citations · 109 across the 6 of their papers we have counts for
6 papers
Optical neuromorphic computing based on chaotic frequency combs in nonlinear microresonators
Negar Shaabani Shishavan, Egor Manuylovich, Morteza Kamalian-Kopae +1
In this work we present a novel implementation of delay line free reservoir computing based on state-of-the-art photonic technologies, which exploits chaotic optical frequency comb…
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…
Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform
Egor Manuylovich, Dmitrii Stoliarov, David Saad +1
Mapping input signals to a high-dimensional space is a critical concept in various neuromorphic computing paradigms, including models such as Reservoir Computing (RC) and Extreme L…
Improving Analog Neural Network Robustness: A Noise-Agnostic Approach with Explainable Regularizations
Alice Duque, Pedro Freire, Egor Manuylovich +3
This work tackles the critical challenge of mitigating "hardware noise" in deep analog neural networks, a major obstacle in advancing analog signal processing devices. We propose a…
Artificial Neural Networks for Photonic Applications: From Algorithms to Implementation
Pedro Freire, Egor Manuylovich, Jaroslaw E. Prilepsky +1
This tutorial-review on applications of artificial neural networks in photonics targets a broad audience, ranging from optical research and engineering communities to computer scie…
Stochastic resonance neurons in artificial neural networks
Egor Manuylovich, Diego Argüello Ron, Morteza Kamalian-Kopae +1
Many modern applications of the artificial neural networks ensue large number of layers making traditional digital implementations increasingly complex. Optical neural networks off…