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        Artificial Intelligence Research Laboratory

        Artificial Intelligence Computing Research Laboratory is researching and developing core technologies to fulfill its pivotal role in ETRI’s vision of ‘Technology pioneer creating a happy future world through digital innovation.’

        We are promoting the development of ultra-high performance hardware and software strategic technology for AI. We have established a strategic goal to realize disruptive innovative computing through the development of computing systems and infrastructure to overcome performance limitations. To achieve this goal, we are developing key technologies for future computing systems, including hardware using intelligent semiconductors and quantum computing, but also system software supports them.

        In particular, we pursue open technology innovation through close collaboration with domestic and foreign universities and companies so that the computing systems developed by ETRI based on AI supercomputer and cyber security technology can be applied to national infrastructure to solve social problems.

        Artificial Intelligence Research Laboratory Introduction Video
        Artificial Intelligence Research Laboratory Titles
        Period: : 20260803 ~
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        논문 검색결과
        Type Year Title Cited Download
        Journal
        2026 Tracking Affine Subspace with Gaussian Elimination for Adaptive Quantum Circuit Simulation   Jin Ki Sung   ACM TRANSACTIONS ON QUANTUM COMPUTING, v.7, no.4, pp.1-22
        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
        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