| Paper Abstract and Keywords |
| Presentation |
2021-03-04 15:50
[Invited Talk]
A Proposal in Order to use AI Safely for Control Nobuyasu Kanekawa (Hitachi) SIS2020-50 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
The research of the deep learning which developed the "neural Network" proposed by the second AI (artificial intelligence) boom becomes an accelerator, and the research of AI is advanced positively again, and it is called a third AI boom.
Artificial intelligence, such as deep learning, provides the best solution beyond human knowledge, but its safety is not necessarily guaranteed. In this lecture, we will introduce the approach which added the technology which verifies and guarantees the safety of the operation of artificial intelligence. This approach is expected to provide a safe and secure solution beyond human intelligence. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Artificial Intelligence / Deep Learning / Generalization Error / Safety / Functional Safety / Safety Verification Function / Safety-critical Applications / |
| Reference Info. |
IEICE Tech. Rep., vol. 120, no. 415, SIS2020-50, pp. 83-87, March 2021. |
| Paper # |
SIS2020-50 |
| Date of Issue |
2021-02-25 (SIS) |
| 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) |
| Download PDF |
SIS2020-50 |
| Conference Information |
| Committee |
SIS |
| Conference Date |
2021-03-04 - 2021-03-05 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Soft Computing, etc. |
| Paper Information |
| Registration To |
SIS |
| Conference Code |
2021-03-SIS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Proposal in Order to use AI Safely for Control |
| Sub Title (in English) |
|
| Keyword(1) |
Artificial Intelligence |
| Keyword(2) |
Deep Learning |
| Keyword(3) |
Generalization Error |
| Keyword(4) |
Safety |
| Keyword(5) |
Functional Safety |
| Keyword(6) |
Safety Verification Function |
| Keyword(7) |
Safety-critical Applications |
| Keyword(8) |
|
| 1st Author's Name |
Nobuyasu Kanekawa |
| 1st Author's Affiliation |
Hitachi, Ltd. (Hitachi) |
| 2nd Author's Name |
|
| 2nd Author's Affiliation |
() |
| 3rd Author's Name |
|
| 3rd Author's Affiliation |
() |
| 4th Author's Name |
|
| 4th Author's Affiliation |
() |
| 5th Author's Name |
|
| 5th Author's Affiliation |
() |
| 6th Author's Name |
|
| 6th Author's Affiliation |
() |
| 7th Author's Name |
|
| 7th Author's Affiliation |
() |
| 8th Author's Name |
|
| 8th Author's Affiliation |
() |
| 9th Author's Name |
|
| 9th Author's Affiliation |
() |
| 10th Author's Name |
|
| 10th Author's Affiliation |
() |
| 11th Author's Name |
|
| 11th Author's Affiliation |
() |
| 12th Author's Name |
|
| 12th Author's Affiliation |
() |
| 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 |
() |
| 21st Author's Name |
|
| 21st Author's Affiliation |
() |
| 22nd Author's Name |
|
| 22nd Author's Affiliation |
() |
| 23rd Author's Name |
|
| 23rd Author's Affiliation |
() |
| 24th Author's Name |
|
| 24th Author's Affiliation |
() |
| 25th Author's Name |
|
| 25th Author's Affiliation |
() |
| 26th Author's Name |
/ / |
| 26th Author's Affiliation |
()
() |
| 27th Author's Name |
/ / |
| 27th Author's Affiliation |
()
() |
| 28th Author's Name |
/ / |
| 28th Author's Affiliation |
()
() |
| 29th Author's Name |
/ / |
| 29th Author's Affiliation |
()
() |
| 30th Author's Name |
/ / |
| 30th Author's Affiliation |
()
() |
| 31st Author's Name |
/ / |
| 31st Author's Affiliation |
()
() |
| 32nd Author's Name |
/ / |
| 32nd Author's Affiliation |
()
() |
| 33rd Author's Name |
/ / |
| 33rd Author's Affiliation |
()
() |
| 34th Author's Name |
/ / |
| 34th Author's Affiliation |
()
() |
| 35th Author's Name |
/ / |
| 35th Author's Affiliation |
()
() |
| 36th Author's Name |
/ / |
| 36th Author's Affiliation |
()
() |
| Speaker |
Author-1 |
| Date Time |
2021-03-04 15:50:00 |
| Presentation Time |
60 minutes |
| Registration for |
SIS |
| Paper # |
SIS2020-50 |
| Volume (vol) |
vol.120 |
| Number (no) |
no.415 |
| Page |
pp.83-87 |
| #Pages |
5 |
| Date of Issue |
2021-02-25 (SIS) |