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        Artificial Intelligence 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.
        Artificial Intelligence Research Laboratory Titles
        Period: : 20260803 ~
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        논문 검색결과
        Type Year Title Cited Download
        Journal
        2026 Technology Trends of Security Resilience based on Network Slicing in Converged Private 5G Networks   Lee Hoon Ki   전자통신동향분석, v.41, no.4, pp.107-120
        Conference
        2023 The Design of CNN Hardware IP to Classify a Bird and Drones in Radar System   Youngseok Baek   International Conference on Electronics, Information and Communication (ICEIC) 2023, pp.426-428
        Conference
        2023 Bespoke: A Block-Level Neural Network Optimization Framework for Low-Cost Deployment   Jongryul Lee   The Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence (AAAI) 2023, pp.8465-8472 0
        Journal
        2023 Trends of DNN Training with Low-Precision Data Format for AI Processor   Hyeji Kim   주간기술동향, v.2080, pp.2-12
        Conference
        2023 Comparison of classification performance between adult and elderly using acoustic and linguistic features from spontaneous speech   Han Seung Hoon   한국 소프트웨어공학 학술 대회 (KCSE) 2023, pp.117-118
        Conference
        2023 Robust pedestrian detection ensemble technique with high and low level feature optimized network   Seo Jihyun   영상처리 및 이해에 관한 워크샵 (IPIU) 2023, pp.1-5
        Journal
        2023 Anytime Lifelong Multi-Agent Pathfinding in Topological Maps   Song Soohwan   IEEE Access, v.11, pp.20365-20380 8
        Conference
        2023 Transmission and reception method for ADC performance improvement effect of pulsed radar system   Kim Hyungju   한국전자파학회 종합 학술 대회 (동계) 2023, pp.321-321
        Conference
        2023 Low-Likelihood EBM Samples for Out-of-Distribution Detection   Assefa Seyoum Wahd   영상처리 및 이해에 관한 워크샵 (IPIU) 2023, pp.1-6
        Journal
        2023 Artificial Intelligence Language Model Research Trends   Soojong Lim   정보와 통신: 한국통신학회지, v.40, no.3, pp.42-50