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        SW·Content 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
        SW·Content Research Laboratory Titles
        Period: : 20190715 ~
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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 HAECHI: Behavior-Aware Attacker-Centric Hierarchical Network Threat Detection Framework   So Yujin   IEEE Internet of Things Journal, v.13, no.17, pp.38443-38458 0
        Conference
        2026 Sink-Token-Aware Pruning for Fine-Grained Video Understanding in Efficient Video LLMs   김기범  European Conference on Computer Vision (ECCV) 2026, pp.1-18
        Conference
        2026 ReQuest: Rethinking-based Question-Aware Frame Selection for Long-Form Video QA   김민국  European Conference on Computer Vision (ECCV) 2026, pp.1-19
        Journal
        2026 Secure Delegated Quantum Approximate Optimization Algorithm With Quantum One-Time Pad for MAX-CUT Problem   Kim Juyoung   IEEE Transactions on Emerging Topics in Computing, v.14, no.3, pp.982-992 0
        Conference
        2026 MultihopSpatial: Multi-hop Compositional Spatial Reasoning Benchmark for Vision-Language Model   Youngwan Lee   European Conference on Computer Vision (ECCV) 2026, pp.1-18
        Journal
        2026 Hybrid Distributed Learning With Knowledge Distillation for Resource-Efficient Intrusion Detection in Distributed Networks   Park Cheolhee   IEEE Internet of Things Journal, v.13, no.17, pp.38734-38756 0
        Conference
        2026 Query-Adaptive Diversity for Long-Form Video Question Answering   Kim Jonghee   European Conference on Computer Vision (ECCV) 2026 Workshop : Multimodal Large Language Models for Unified Comprehension and Generation (MUCG), pp.1-11
        Conference
        2026 Infrastructure-Assisted Defensive Forecasting of Latent Traffic Hazards from Uncalibrated CCTV   Je-Seok Ham   European Conference on Computer Vision (ECCV) 2026 Workshop : Safe and Defensive Autonomous Driving (SDAD), pp.1-9
        Conference
        2026 A Study on Semi-Supervised Intrusion Detection for Private 5G Networks Using a Testbed-Generated Flow Dataset   Jeon Halin   World Conference on Information Security Applications (WISA) 2026, pp.1-4