Neuro-MMI: A hybrid photonic-electronic machine learning platform

被引：0

作者：

Soures, Nicholas ^{[1
]}

Steidle, Jeffrey ^{[1
]}

Preble, Stefan ^{[1
]}

Kudithipudi, Dhireesha ^{[1
]}

机构：

[1] Rochester Inst Technol, Rochester, NY 14623 USA

来源：

2018 IEEE PHOTONICS SOCIETY SUMMER TOPICAL MEETING SERIES (SUM) | 2018年

关键词：

Photonics; MMI; Neuromorphic; ELM;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We demonstrate a hybrid electronic-photonic feedforward neural network which exploits interference patterns in a Multimode Interference coupler (neuro-MMI). The proposed neuro-MMIs accuracy is statistically equivalent to state-of-the-art networks. Neuro-MMI serves as a blueprint for a class of high-performance neuromorphic networks that can solve cognitive tasks.

引用

页码：187 / 188

页数：2

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