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SW·Content Research Laboratory

Artificial Intelligence Research Laboratory is carrying out key research and development to play a pivotal role in ETRI's vision of 'National AI Research Institute'.

We have established the strategic goal of building the foundation of a super intelligent information society where humans and artificial intelligence co-exist, and realizing super-performance computing that overcomes the performance limitations of artificial intelligence.

To achieve these goals, we are developing key technologies such as complex AI, intelligent robots, autonomous unmanned vehicle, AI SoC, and AI supercomputers. We will pursue a hybrid R&D strategy that includes core technology research and mission-based research such as enterprise support and social problem solving.

More than 450 master and Ph.D researchers in the field of artificial intelligence and ICT are in charge of core research and development, and are pursuing technological innovation through open R&D strategies such as joint research with universities and companies.

SW·Content Research Laboratory Titles

Period: : 20210215 ~ 20211017

Showing 1-10 of 157.

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논문 검색결과
Type	Year	Title	Cited
Conference	2021	SPER: Stay-Point Extraction considering Revisits in a Single Trajectory Jiyoun Lim International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1555-1557	1
Journal	2021	Simultaneous Neural Machine Translation with a Reinforced Attention Mechanism Lee Yo Han ETRI Journal, v.43, no.5, pp.775-786	11
Conference	2021	A Study on the Safety Service Platform for Hazardous Areas in the Industrial Environments Kang Sang Seung 정보 및 제어 학술 대회 (CICS) 2021, pp.330-331
Conference	2021	An Architectural Design for Autonomous Driving AI Service Integrated Framework Jeong-Woo Lee 한국ITS학회 학술 대회 (추계) 2021, pp.9-9
Journal	2021	Deep Learning Ensemble Method for Classifying Glaucoma Stages Using Fundus Photographs and Convolutional Neural Networks Hyeonsung Cho Current Eye Research, v.46, no.10, pp.1-10	32
Conference	2021	Evaluation of Azalea on Many-core Test Bed System Jeong Yeon Jeong International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.945-948	0
Conference	2021	Adaptive Power Quality Monitoring Data Aggregation Method in the Shipyard Environment Jung Woosung International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1310-1315	0
Conference	2021	An Empirical Study on Channel Pruning through Residual Connections Jongryul Lee International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1380-1382	2
Conference	2021	mIoTwins: Design and Evaluation of mIoT Framework for Private Edge Networks Junhee Lee International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1882-1884	6
Conference	2021	Design and Evaluation of Container-based Networking for Low-latency Edge Services Cha Jae-Geun International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1287-1289	9

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