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Theory of neuromorphic computing by waves: machine learning by rogue
  waves, dispersive shocks, and solitons

Theory of neuromorphic computing by waves: machine learning by rogue waves, dispersive shocks, and solitons

15 December 2019
G. Marcucci
D. Pierangeli
Claudio Conti
ArXivPDFHTML

Papers citing "Theory of neuromorphic computing by waves: machine learning by rogue waves, dispersive shocks, and solitons"

6 / 6 papers shown
Title
Thermodynamic limit in learning period three
Thermodynamic limit in learning period three
Yuichiro Terasaki
Kohei Nakajima
40
1
0
12 May 2024
Weak Kerr Nonlinearity Boosts the Performance of Frequency-Multiplexed
  Photonic Extreme Learning Machines: A Multifaceted Approach
Weak Kerr Nonlinearity Boosts the Performance of Frequency-Multiplexed Photonic Extreme Learning Machines: A Multifaceted Approach
Marina Zajnulina
Alessandro Lupo
Serge Massar
21
3
0
19 Dec 2023
Nonlinear Processing with Linear Optics
Nonlinear Processing with Linear Optics
Mustafa Yildirim
Niyazi Ulaş Dinç
Ilker Oguz
D. Psaltis
C. Moser
40
35
0
17 Jul 2023
Analogue and Physical Reservoir Computing Using Water Waves
Analogue and Physical Reservoir Computing Using Water Waves
I. Maksymov
24
16
0
15 Jun 2023
Wave-based extreme deep learning based on non-linear time-Floquet
  entanglement
Wave-based extreme deep learning based on non-linear time-Floquet entanglement
Ali Momeni
Romain Fleury
22
20
0
19 Jul 2021
All-Optical Machine Learning Using Diffractive Deep Neural Networks
All-Optical Machine Learning Using Diffractive Deep Neural Networks
Xing Lin
Y. Rivenson
N. Yardimci
Muhammed Veli
Mona Jarrahi
Aydogan Ozcan
76
1,628
0
14 Apr 2018
1