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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: : 20250101 ~ 20250630
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        Showing 1-10 of 597.

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        논문 검색결과
        Type Year Title Cited Download
        Journal
        2024 PUF-Based Robust and Anonymous Authentication and Key Establishment Scheme for V2G Networks   Yusungjin   IEEE Internet of Things Journal, v.11, no.9, pp.15450-15464 61
        Journal
        2023 LAKA-UAV: Lightweight authentication and key agreement scheme for cloud-assisted Unmanned Aerial Vehicle using blockchain in flying ad-hoc networks   Yusungjin   Computer Networks, v.224, pp.1-15 54
        Journal
        2023 Metasurface-Incorporated Optofluidic Refractive Index Sensing for Identification of Liquid Chemicals through Vision Intelligence   이홍량  ACS Photonics, v.10, no.3, pp.780-789 40
        Journal
        2024 Framework for Evaluating Code Generation Ability of Large Language Models   Yeo Sangyeop   ETRI Journal, v.46, no.1, pp.106-117 32
        Journal
        2024 Blockchain-Enabled Key Aggregate Searchable Encryption Scheme for Personal Health Record Sharing With Multidelegation   Lee Joonyoung   IEEE Internet of Things Journal, v.11, no.10, pp.17482-17494 30
        Journal
        2025 Self-supervised video processing with self-calibration on an analogue computing platform based on a selector-less memristor array   정학천  Nature Electronics, v.8, no.2, pp.168-178 29
        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 28
        Journal
        2023 Multilayer all-polymer metasurface stacked on optical fiber via sequential micro-punching process   김무혁  NANOPHOTONICS, v.12, no.13, pp.2359-2369 27
        Journal
        2023 QPlayer: Lightweight, scalable, and fast quantum simulator   Jin Ki Sung   ETRI Journal, v.45, no.2, pp.304-317 21
        Journal
        2023 Clock Offset Estimation for Systems with Asymmetric Packet Delays   Youngmok Ha   IEEE/ACM Transactions on Networking, v.31, no.4, pp.1838-1853 18