Accurately predicting passenger flows is essential for preventing congestion and delays in subway networks. In a recent study, researchers developed a multi-time-scale model that uses recurring day-to-day and week-to-week travel patterns to predict both passenger destinations and travel times one day ahead. Tested on Shenzhen subway data, the model outperformed several widely used forecasting methods across most stations.

Researchers have developed an AI-based system that automatically and objectively detects the moment when fish experience loss of equilibrium (LOE) due to temperature stress. The system combines DeepLabCut, a deep-learning AI that captures animal posture from video, with ResNet34, a deep-learning AI-based image-classification technology. Their system is expected to help predict the effects of climate change on fish. The research team was led by Specially Appointed Lecturer Tomoya Nakayama and Yoshiya Matsuo (a master’s student at the time) of the Institute of Transformative Bio-Molecules (WPI-ITbM) at Nagoya University, in collaboration with Associate Professor Tatsuto Hasegawa and Takuya Kato (a master’s student at the time) of the University of Fukui. Their research was published in the journal Scientific Reports on September 10, 2026.

A global forum was held to discuss the future of “Physical AI,” a technology that enables artificial intelligence to perceive, understand, and act in the real world through the physical embodiment of robots and machines. Experts from industry, academia, and research institutions in Korea and abroad gathered to share the latest technological developments in humanoid robotics and Physical AI and explore future directions for the industrial ecosystem. 

The Korea Institute of Machinery and Materials (KIMM, President Seog-Hyeon Ryu) hosted the 2026 Global Forum on Mechanical Engineering beginning at 1:30 p.m. on September 7 (Monday) at the Science and Technology Convention Center in Seoul under the theme “Robotics Shaping Tomorrow's Industrial Ecosystem with Physical AI.”