Noise-resilient designs and analysis for optical neural networks
All analog signal processing is fundamentally subject to noise, and this is also the case in next generation implementations of optical neural networks (ONNs). Therefore, we propose the first hardware-based approach to mitigate noise in ONNs. A tree-like and an accordion-like design are constructed...
Saved in:
Main Authors: | Gianluca Kosmella, Ripalta Stabile, Jaron Sanders |
---|---|
Format: | Article |
Language: | English |
Published: |
IOP Publishing
2024-01-01
|
Series: | Neuromorphic Computing and Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1088/2634-4386/ad836f |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparison of neural networks for suppression of multiplicative noise in images
by: V.A. Pavlov, et al.
Published: (2024-06-01) -
On conditions for the strong law of large numbers in general Banach spaces
by: Anna Kuczmaszewska, et al.
Published: (2000-01-01) -
Resilient Design. A synoptic framework
by: Claudio Germak
Published: (2019-12-01) -
Marcinkiewicz-type strong law of large numbers for double arrays of pairwise independent random variables
by: Dug Hun Hong, et al.
Published: (1999-01-01) -
Theoretical and experimental analysis of phase noise in semiconductor lasers biased below threshold
by: Iker Pascual de Zulueta, et al.
Published: (2025-01-01)