II Optical Neural Networks: Architecture, Design and Models

Yu, Francis T. S.

doi:10.1016/s0079-6638(08)70162-8

Cited by 7 publications

(3 citation statements)

References 51 publications

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“…The parallel correlation operation is obtained at the expense of losing shift invariance in one dimension at the output plane. This mode of operation of a holographic memory has been successfully used in a number of applications [97]- [99]. In Sections IV and V we will show that the volume hologram correlates its internal modes with the input field.…”

Section: Holographic Storagementioning

confidence: 95%

“…This leads to the expression (97) Rearranging the integrals and summations, we rewrite the above expression as (98) The last expression is equivalent to (82) by using definition (83) for the 's. The alternative expression (84) follows from (83) by using Weyl's identity in reverse, in order to go back to the space domain.…”

Section: Appendix II Proof Of the Correlation Property For Statisticamentioning

confidence: 99%

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Multidimensional tomographic imaging using volume holography

Barbastathis¹,

Brady²

1999

Proc. IEEE

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Section: Holographic Storagementioning

confidence: 95%

Section: Appendix II Proof Of the Correlation Property For Statisticamentioning

confidence: 99%

Multidimensional tomographic imaging using volume holography

Barbastathis¹,

Brady²

1999

Proc. IEEE

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“…Numerous treatises on ONN have been published long before the very concept of metasurfaces was first presented. Some examples include almost prophetic publications from the previous century [356,357]. Instead of metasurfaces that did not even exist at the time, discrete optical components were utilized, together with standard nonlinear optical materials.…”

Section: A Very Short Historymentioning

confidence: 99%

Synergy between AI and Optical Metasurfaces: A Critical Overview of Recent Advances

Jakšić

2024

Photonics

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The interplay between two paradigms, artificial intelligence (AI) and optical metasurfaces, nowadays appears obvious and unavoidable. AI is permeating literally all facets of human activity, from science and arts to everyday life. On the other hand, optical metasurfaces offer diverse and sophisticated multifunctionalities, many of which appeared impossible only a short time ago. The use of AI for optimization is a general approach that has become ubiquitous. However, here we are witnessing a two-way process—AI is improving metasurfaces but some metasurfaces are also improving AI. AI helps design, analyze and utilize metasurfaces, while metasurfaces ensure the creation of all-optical AI chips. This ensures positive feedback where each of the two enhances the other one: this may well be a revolution in the making. A vast number of publications already cover either the first or the second direction; only a modest number includes both. This is an attempt to make a reader-friendly critical overview of this emerging synergy. It first succinctly reviews the research trends, stressing the most recent findings. Then, it considers possible future developments and challenges. The author hopes that this broad interdisciplinary overview will be useful both to dedicated experts and a general scholarly audience.

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Imaging and Storage with Spherical-Reference Volume Holograms

Barbastathis

Brady

2000

Photorefractive Optics

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II Optical Neural Networks: Architecture, Design and Models

Cited by 7 publications

References 51 publications

Multidimensional tomographic imaging using volume holography

Multidimensional tomographic imaging using volume holography

Synergy between AI and Optical Metasurfaces: A Critical Overview of Recent Advances

Imaging and Storage with Spherical-Reference Volume Holograms

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