Wavefront-aberration-tolerant diffractive deep neural networks using volume holographic optical elements

Wavefront-aberration-tolerant diffractive deep neural networks using volume holographic optical elements

Abstract As the demand for computational performance in artificial intelligence (AI) continues to increase, diffractive deep neural networks (D2NNs), which can perform AI computing at the speed of light by repeated optical modulation with diffractive optical elements (DOEs), are attracting attention...

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Bibliographic Details
Main Authors: Ikuo Hoshi, Koki Wakunami, Yasuyuki Ichihashi, Ryutaro Oi
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Diffractive deep neural network
Holographic optical element
Machine learning
Adaptive optics
Online Access:https://doi.org/10.1038/s41598-024-82791-z
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https://doi.org/10.1038/s41598-024-82791-z

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