Researchers have implemented the enhanced YOLOv7 in the state identification of railway sliding chairs. This approach is capable of precisely discerning the states of the sliding chairs, thereby enabling the formulation of corresponding maintenance strategies.

Researchers used biologging technology to analyse movements, activity patterns and eating habits of two species of Southern Ocean albatrosses to see how they responded to extreme weather.  The study found that despite albatrosses’ adaptation to use the wind to travel efficiently, both species struggled to find food in stormy weather.

Recent advances in optoelectronics have propelled 3D imaging technology into new realms of application, particularly in sectors such as industrial inspection, solid mechanics, and biomedicine. Nevertheless, the 3D imaging speed is fundamentally limited by the intrinsic frame rate of the imaging sensor. Overcoming this barrier is essential for the development of high-speed or even ultra-high-speed 3D imaging capabilities, thereby pushing the boundaries of current 3D imaging technologies. Leveraging frequency multiplexing and deep learning, this study substantially increases the 3D imaging speed of the traditional fringe projection profilometry (FPP) technique, exceeding the detector frame rate by nearly an order of magnitude without compromising the spatial resolution. This new 3D imaging paradigm opens a gate for slow-scan cameras to quantitatively study a multitude of dynamic processes with both high spatial and temporal resolution.

POSTECH and Korea University research team unveils a next-generation transparent cooling film using the principles of radiative cooling.

Automated social media profiles are a powerful tool for spreading propaganda. They often feature AI-generated profile pictures. Researchers are currently looking into ways of identifying such images.