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Paper Abstract and Keywords
Presentation 2021-04-26 13:05
[Invited Talk] Implementing Machine Learning In Silicon Photonic Circuits -- Single-chip photonic classifier based on silicon photonic circuits --
Guangwei Cong, Noritsugu Yamamoto, Takashi Inoue, Yuriko Maegami, Morifumi Ohno (AIST), Shota Kita (NTT), Shu Namiki, Koji Yamada (AIST) PN2021-1
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, growing effort has been spent on developing new hardware architectures for building high energy-efficiency and low-latency AI (artificial intelligence) systems, for which optics/photonics, incoherent or coherent, with various approaches including free-space optics, fiber-based systems, and integrated photonics are attracting wide research interests. In this presentation, we will introduce the implementation of machine learning classification tasks in a single silicon photonic chip named photonic classifier. Using this device, we successfully performed XOR separation and Iris dataset classification in experiment. This proof-of-principle work offers a novel photonic architecture to realize a high-speed and power-saving computing system for classifying a large volume of statistic data.
Keyword (in Japanese) (See Japanese page) 
(in English) Integrated Photonic Circuits / Machine Learning / Silicon Photonics / Classification / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 10, PN2021-1, pp. 1-5, April 2021.
Paper # PN2021-1 
Date of Issue 2021-04-19 (PN) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee PN  
Conference Date 2021-04-26 - 2021-04-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PN 
Conference Code 2021-04-PN 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Implementing Machine Learning In Silicon Photonic Circuits 
Sub Title (in English) Single-chip photonic classifier based on silicon photonic circuits 
Keyword(1) Integrated Photonic Circuits  
Keyword(2) Machine Learning  
Keyword(3) Silicon Photonics  
Keyword(4) Classification  
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1st Author's Name Guangwei Cong  
1st Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
2nd Author's Name Noritsugu Yamamoto  
2nd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
3rd Author's Name Takashi Inoue  
3rd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
4th Author's Name Yuriko Maegami  
4th Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
5th Author's Name Morifumi Ohno  
5th Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
6th Author's Name Shota Kita  
6th Author's Affiliation NTT Basic Research Laboratories (NTT)
7th Author's Name Shu Namiki  
7th Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
8th Author's Name Koji Yamada  
8th Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
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Speaker Author-1 
Date Time 2021-04-26 13:05:00 
Presentation Time 50 minutes 
Registration for PN 
Paper # PN2021-1 
Volume (vol) vol.121 
Number (no) no.10 
Page pp.1-5 
#Pages 5 
Date of Issue 2021-04-19 (PN) 

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