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AI로 인파 흐름 예측..."다중사고·감염병 위험 줄인다" 국내 연구진이 다중밀집사고를 예방하기 위해 인공지능을 활용해 인구 이동과 군중 밀집을 예측하는 기술을 개발했습니다. 대규모 축제나 행사, 도심 교통 혼잡 완화뿐만 아니라 감염병 확산 대응에도 활용될 것으로 기대됩니다. [링크] AI Predicts Crowd Flow: "Reducing Risks of Mass Accidents and Infectious Diseases" A Korean research team has developed an artificial intelligence technology that predicts population movement and crowd density to prevent mass crowd accidents. This technology is expected to be applied not only to managing large-scale fe

Byunghyun's paper is accepted at NeurIPS 2025, which is one of the top conferences in machine learning. #paper Byunghyun Kim, Minyoung Bae, Jae-Gil Lee: Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance Segmentation

The following two papers are accepted at KDD 2025, which is one of the top conferences in data mining. #paper Youngeun Nam, Jihye Na,...