Paper Abstract and Keywords |
Presentation |
2020-01-28 14:00
[Invited Talk]
Performance Maximization of In-Memory Reinforcement Learning with Variability-Controlled Hf1-xZrxO2 Ferroelectric Tunnel Junctions Kensuke Ota, Marina Yamaguchi (kioxia), Radu Berdan, Takao Marukame, Yoshifumi Nishi (Toshiba), Kazuhiro Matsuo, Kota Takahashi, Yuta Kamiya, Shinji Miyano, Jun Deguchi, Shosuke Fujii, Masumi Saitoh (kioxia) SDM2019-84 Link to ES Tech. Rep. Archives: SDM2019-84 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We develop strategies to maximize the performance and reliability of in-memory reinforcement learning with Hf1-xZrxO2 ferroelectric tunnel junction by structural and material engineering. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Ferroelectric tunnel junction / Memory / Reinforcement learning / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 397, SDM2019-84, pp. 9-9, Jan. 2020. |
Paper # |
SDM2019-84 |
Date of Issue |
2020-01-21 (SDM) |
ISSN |
Print edition: ISSN 0913-5685 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) |
Download PDF |
SDM2019-84 Link to ES Tech. Rep. Archives: SDM2019-84 |
Conference Information |
Committee |
SDM |
Conference Date |
2020-01-28 - 2020-01-28 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kikai-Shinko-Kaikan Bldg. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
|
Paper Information |
Registration To |
SDM |
Conference Code |
2020-01-SDM |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Performance Maximization of In-Memory Reinforcement Learning with Variability-Controlled Hf1-xZrxO2 Ferroelectric Tunnel Junctions |
Sub Title (in English) |
* |
Keyword(1) |
Ferroelectric tunnel junction |
Keyword(2) |
Memory |
Keyword(3) |
Reinforcement learning |
Keyword(4) |
|
Keyword(5) |
|
Keyword(6) |
|
Keyword(7) |
|
Keyword(8) |
|
1st Author's Name |
Kensuke Ota |
1st Author's Affiliation |
kioxia (kioxia) |
2nd Author's Name |
Marina Yamaguchi |
2nd Author's Affiliation |
kioxia (kioxia) |
3rd Author's Name |
Radu Berdan |
3rd Author's Affiliation |
Toshiba (Toshiba) |
4th Author's Name |
Takao Marukame |
4th Author's Affiliation |
Toshiba (Toshiba) |
5th Author's Name |
Yoshifumi Nishi |
5th Author's Affiliation |
Toshiba (Toshiba) |
6th Author's Name |
Kazuhiro Matsuo |
6th Author's Affiliation |
kioxia (kioxia) |
7th Author's Name |
Kota Takahashi |
7th Author's Affiliation |
kioxia (kioxia) |
8th Author's Name |
Yuta Kamiya |
8th Author's Affiliation |
kioxia (kioxia) |
9th Author's Name |
Shinji Miyano |
9th Author's Affiliation |
kioxia (kioxia) |
10th Author's Name |
Jun Deguchi |
10th Author's Affiliation |
kioxia (kioxia) |
11th Author's Name |
Shosuke Fujii |
11th Author's Affiliation |
kioxia (kioxia) |
12th Author's Name |
Masumi Saitoh |
12th Author's Affiliation |
kioxia (kioxia) |
13th Author's Name |
|
13th Author's Affiliation |
() |
14th Author's Name |
|
14th Author's Affiliation |
() |
15th Author's Name |
|
15th Author's Affiliation |
() |
16th Author's Name |
|
16th Author's Affiliation |
() |
17th Author's Name |
|
17th Author's Affiliation |
() |
18th Author's Name |
|
18th Author's Affiliation |
() |
19th Author's Name |
|
19th Author's Affiliation |
() |
20th Author's Name |
|
20th Author's Affiliation |
() |
Speaker |
Author-1 |
Date Time |
2020-01-28 14:00:00 |
Presentation Time |
30 minutes |
Registration for |
SDM |
Paper # |
SDM2019-84 |
Volume (vol) |
vol.119 |
Number (no) |
no.397 |
Page |
p.9 |
#Pages |
1 |
Date of Issue |
2020-01-21 (SDM) |
|