Invention Grant
- Patent Title: Multimodal data learning method and device
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Application No.: US16764677Application Date: 2018-11-13
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Publication No.: US11651214B2Publication Date: 2023-05-16
- Inventor: Hyun Soo Choi , Chang D. Yoo , Sung Hun Kang , Jun Yeong Kim , Sung Jin Kim
- Applicant: SAMSUNG ELECTRONICS CO., LTD. , KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY
- Applicant Address: KR Suwon-si
- Assignee: SAMSUNG ELECTRONICS CO., LTD.,KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY
- Current Assignee: SAMSUNG ELECTRONICS CO., LTD.,KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY
- Current Assignee Address: KR Suwon-si; KR Daejeon
- Agency: Sughrue Mion, PLLC
- Priority: KR 20170153972 2017.11.17 KR 20180029403 2018.03.13
- International Application: PCT/KR2018/013824 2018.11.13
- International Announcement: WO2019/098644A 2019.05.23
- Date entered country: 2020-05-15
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N20/20 ; G06F18/21 ; G06N3/045

Abstract:
An artificial intelligence (AI) system capable of simulating functions of a human brain, such as recognition and judgment, by using the machine learning algorithm such as deep learning, and an application thereof are provided. A method of learning multi-modal data according to the AI system and an application thereof includes: obtaining first context information representing a characteristic of a first signal and second context information representing a characteristic of a second signal by using a first learning network model; obtaining hidden layer information based on the first context information and the second context information by using a second learning network model; obtaining a correlation value representing a relation degree between the hidden layer information by using the second learning network model; and learning the hidden layer information in which the correlation value is derived as a maximum value.
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