Three-dimensional integrated optical neural network

Kanhaya Sharma; Adrià Grabulosa; Erik Jung; Daniel Brunner

doi:10.1117/12.3022124

18 June 2024 Three-dimensional integrated optical neural network

Kanhaya Sharma, Adrià Grabulosa, Erik Jung, Daniel Brunner

Proceedings Volume 13017, Machine Learning in Photonics; 130170K (2024) https://doi.org/10.1117/12.3022124
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Abstract

Three-dimensional Optical Neural Networks (ONN) are a promising solution to the energy, time, and area yearning Artificial Intelligence (AI) hardware. The 3D additive manufacturing technique with Two-Photon Polymerization (TPP) can be used to build the 3D dense ONN. In our work, we designed and fabricated the hybrid waveguide circuit which fuses the polymer and air clad waveguides, an important interconnect for the ONN. The polymer-cladded waveguide can support single mode and evanescent coupling while the air-cladded can support tight bend for dense integration.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Kanhaya Sharma, Adrià Grabulosa, Erik Jung, and Daniel Brunner "Three-dimensional integrated optical neural network", Proc. SPIE 13017, Machine Learning in Photonics, 130170K (18 June 2024); https://doi.org/10.1117/12.3022124

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