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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: : 20250901 ~
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        논문 검색결과
        Type Year Title Cited Download
        Conference
        2025 MLIR-ARX: Accelerator-Aware MLIR-to-RISC-V Compilation Integrated with an EDA Flow   Kwon Yongin   Conference on Neural Information Processing Systems (NeurIPS) 2025 : Workshop, pp.1-12
        Conference
        2025 Multi-Layer Threat Data Collection Technology for Anomaly Detection in Cloud-Native Open RAN   Kwon Hyeok Chan   전자 정보 통신 학술 대회 (CEIC) 2025, pp.1-3
        Conference
        2025 Host Bridge Level Cache in Memory-Centric Fabric and its Impacts on Disaggregated Memory System   Kim Young Woo   International Conference on Big Data (Big Data) 2025, pp.183-190
        Journal
        2025 Modified recursive QAOA for exact MAX-CUT solutions on bipartite graphs: closing the gap beyond QAOA limit   Bae Eunok   Journal of Physics A: Mathematical and Theoretical, v.58, pp.1-22
        Conference
        2025 A NUMA Aware Compiler Framework for Large Scale Mathematical Reasoning Inference on PCIe Based Multi Accelerator Systems   Cha Joohyoung   Conference on Neural Information Processing Systems (NeurIPS) 2025 : Workshop, pp.1-5
        Conference
        2025 Implementation of an Integrated Accelerator Operator for Cloud-Native Infrastructure   Cha Jae-Geun   대한전자공학회 학술 대회 (추계) 2025, pp.1461-1464
        Journal
        2025 Quantum sensing with spin defects: principles, progress, and prospects for use cases   Moon Jong Sung   Advanced Photonics, v.7, no.6, pp.1-42
        Journal
        2025 Physical AI and simulator   Shin Ayoung   정보와 통신: 한국통신학회지, v.42, no.11, pp.34-42
        Conference
        2025 EfficientViT Inference at the Edge: System-Level Optimization for Real-Time Vision Applications   Park Gunju   한국인공지능학회 학술 대회 (추계) 2025, pp.1-3
        Journal
        2025 Target-Aware Neural Network Execution via Compiler-Guided Pruning   Cha Joohyoung   IEEE Transactions on Mobile Computing, v.권호미정, pp.1-14 0