Novel 2D Materials Enabled All-Optical Nonlinear Activation Functions for On-Chip Photonic Deep Neural Networks

Physics

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Abstract

Published

Standard

Novel 2D Materials Enabled All-Optical Nonlinear Activation Functions for On-Chip Photonic Deep Neural Networks. / Karabchevsky, Alina.
META 2022 in Torremolinos, The 12th International Conference on Metamaterials, Photonic Crystals and Plasmonics. META Conference, 2022. p. 270 (META 2022 in Torremolinos; Vol. 12).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Abstract

Harvard

Karabchevsky, A 2022, Novel 2D Materials Enabled All-Optical Nonlinear Activation Functions for On-Chip Photonic Deep Neural Networks. in META 2022 in Torremolinos, The 12th International Conference on Metamaterials, Photonic Crystals and Plasmonics. META 2022 in Torremolinos, vol. 12, META Conference, pp. 270, 12th International Conference on Metamaterials, Photonic Crystals and Plasmonics, META 2022, Torremolinos, Spain, 19/07/22. <https://metaconferences.org/META/files/meta22_proceedings.pdf>

APA

Karabchevsky, A. (2022). Novel 2D Materials Enabled All-Optical Nonlinear Activation Functions for On-Chip Photonic Deep Neural Networks. In META 2022 in Torremolinos, The 12th International Conference on Metamaterials, Photonic Crystals and Plasmonics (pp. 270). (META 2022 in Torremolinos; Vol. 12). META Conference. https://metaconferences.org/META/files/meta22_proceedings.pdf

Vancouver

Karabchevsky A. Novel 2D Materials Enabled All-Optical Nonlinear Activation Functions for On-Chip Photonic Deep Neural Networks. In META 2022 in Torremolinos, The 12th International Conference on Metamaterials, Photonic Crystals and Plasmonics. META Conference. 2022. p. 270. (META 2022 in Torremolinos).

Author

Karabchevsky, Alina. / Novel 2D Materials Enabled All-Optical Nonlinear Activation Functions for On-Chip Photonic Deep Neural Networks. META 2022 in Torremolinos, The 12th International Conference on Metamaterials, Photonic Crystals and Plasmonics. META Conference, 2022. pp. 270 (META 2022 in Torremolinos).

Bibtex

@inbook{655fc243697f4908af235d79b08efb97,

title = "Novel 2D Materials Enabled All-Optical Nonlinear Activation Functions for On-Chip Photonic Deep Neural Networks",

abstract = "Neural networks are one of the first major milestones in developing artificial intelligence systems. The utilisation of integrated photonics in neural networks offers a promising alternative approach to microelectronic and hybrid optical-electronic implementations due to improvements in computational speed and low energy consumption in machine-learning tasks. However, at present, the optical realisation of the nonlinear activation function is a tremendous challenge. In my talk, I will discuss the challenges and novel approaches for implementing an all-optical neural nonlinear activation function based on utilising unique light-matter interactions with new class of 2D materials towards the realization of all-optically implemented deep neural networks.",

author = "Alina Karabchevsky",

note = "Publisher Copyright: {\textcopyright} 2023, META Conference. All rights reserved.; 12th International Conference on Metamaterials, Photonic Crystals and Plasmonics, META 2022 ; Conference date: 19-07-2022 Through 22-07-2022",

year = "2022",

month = jul,

day = "19",

language = "English",

series = "META 2022 in Torremolinos",

publisher = "META Conference",

pages = "270",

booktitle = "META 2022 in Torremolinos, The 12th International Conference on Metamaterials, Photonic Crystals and Plasmonics",

}

RIS

TY - CHAP

T1 - Novel 2D Materials Enabled All-Optical Nonlinear Activation Functions for On-Chip Photonic Deep Neural Networks

AU - Karabchevsky, Alina

PY - 2022/7/19

Y1 - 2022/7/19

N2 - Neural networks are one of the first major milestones in developing artificial intelligence systems. The utilisation of integrated photonics in neural networks offers a promising alternative approach to microelectronic and hybrid optical-electronic implementations due to improvements in computational speed and low energy consumption in machine-learning tasks. However, at present, the optical realisation of the nonlinear activation function is a tremendous challenge. In my talk, I will discuss the challenges and novel approaches for implementing an all-optical neural nonlinear activation function based on utilising unique light-matter interactions with new class of 2D materials towards the realization of all-optically implemented deep neural networks.

AB - Neural networks are one of the first major milestones in developing artificial intelligence systems. The utilisation of integrated photonics in neural networks offers a promising alternative approach to microelectronic and hybrid optical-electronic implementations due to improvements in computational speed and low energy consumption in machine-learning tasks. However, at present, the optical realisation of the nonlinear activation function is a tremendous challenge. In my talk, I will discuss the challenges and novel approaches for implementing an all-optical neural nonlinear activation function based on utilising unique light-matter interactions with new class of 2D materials towards the realization of all-optically implemented deep neural networks.

M3 - Abstract

T3 - META 2022 in Torremolinos

SP - 270

BT - META 2022 in Torremolinos, The 12th International Conference on Metamaterials, Photonic Crystals and Plasmonics

PB - META Conference

T2 - 12th International Conference on Metamaterials, Photonic Crystals and Plasmonics, META 2022

Y2 - 19 July 2022 through 22 July 2022

ER -

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