@inproceedings{c722be97f2b646a9855e4a332d0a34a7,
title = "Micro mirrors based coupling of light to multi-core fiber realizing in-fiber photonic neural network processor",
abstract = "Hardware implementation of artificial neural networks facilitates real-time parallel processing of massive data sets. Optical neural networks offer low-volume 3D connectivity together with large bandwidth and minimal heat production in contrast to electronic implementation. Here, we present a DMD based approaches to realize energetically efficient light coupling into a multi-core fiber realizing a unique design for in-fiber optical neural networks. Neurons and synapses are realized as individual cores in a multi-core fiber. Optical signals are transferred transversely between cores by means of optical coupling. Pump driven amplification in Erbium-doped cores mimics synaptic interactions. In order to dynamically and efficiently couple light into the multi-core fiber a DMD based micro mirror device is used to perform proper beam shaping operation. The beam shaping reshapes the light into a large set of points in space matching the positions of the required cores in the entrance plane to the multi-core fiber.",
keywords = "Neural networks, beam shaping, multi-core fiber, optical computing",
author = "Eyal Cohen and Dror Malka and Amir Shemer and Asaf Shahmoon and Michael London and Zeev Zalevsky",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; Emerging Digital Micromirror Device Based Systems and Applications IX ; Conference date: 30-01-2017 Through 31-01-2017",
year = "2017",
doi = "https://doi.org/10.1117/12.2253426",
language = "الإنجليزيّة",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Douglass, {Michael R.} and Lee, {Benjamin L.}",
booktitle = "Emerging Digital Micromirror Device Based Systems and Applications IX",
address = "الولايات المتّحدة",
}