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        Artificial Intelligence Computing 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 Computing Research Laboratory Titles
        Period: : 20250401 ~ 20250630
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        Showing 1-10 of 37.

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        논문 검색결과
        Type Year Title Cited Download
        Journal
        2025 Trends in Intermittent Computing Software Technology   Yoojin Lim   전자통신동향분석, v.40, no.3, pp.1-10
        Conference
        2025 Remote and practical quantum sensing via fiber-coupled spin defects in an hBN nanophotonic cavity   Moon Jong Sung   광과학 광반도체 워크숍 (OSW) 2025, pp.1-1
        Journal
        2025 A Precise and Low Power Analog Spiking Neural Network Exploiting Pre-Charged Current Mode Synapses and Coarse-Fine Neuron Comparators   Hwang Kyudong   Electronics Letters, v.61, no.1, pp.1-4 0
        Journal
        2025 Multi-modem-based FHSS-drone takeover with precision spoofing   Kang Jaegu   ETRI Journal, v.47, no.3, pp.410-421 1
        Conference
        2025 Entanglement Distribution and Quantum Teleportation of Time-bin Entangled Qubits Towards a Quantum Internet   Kim Jinwoo   Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC) 2025, pp.1-1 0
        Conference
        2025 Multi-level Machine Learning-Guided Autotuning for Efficient Code Generation on a Deep Learning Accelerator   Cha Joohyoung   ACM SIGPLAN/SIGBED Conference on Languages, Compilers and Tools for Embedded Systems (LCTES) 2025, pp.134-145
        Conference
        2025 Fabrication of PPLNOI waveguides via in-situ poling monitoring and optimized dry etching conditions for efficient frequency conversion   Hong-Seok Kim   Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC) 2025, pp.1-1 0
        Conference
        2025 Intermittent Systems at Small Scale: Execution Model and Design Guidelines   Youngbin Kim   Design Automation Conference (DAC) 2025, pp.1-7
        Journal
        2025 A Machine Learning Attack-Resistant PUF-Based Robust and Efficient Mutual Authentication Scheme in Fog-Enabled IoT Environments   Yusungjin   IEEE Internet of Things Journal, v.12, no.12, pp.20652-20669 10
        Conference
        2025 Fabrication of PPLNOI waveguides via in-situ poling monitoring and optimized dry etching conditions for efficient frequency conversion   Tetiana Slusar   Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC) 2025, pp.1-1 0