A research team led by Senior Researcher Dr. Jun Sae Han at the Nano Lithography and Manufacturing Research Center, Nano-Convergence Research Division, Korea Institute of Machinery and Materials (KIMM, President Seog-Hyeon Ryu), has proposed a roll-to-roll (R2R)-based direct roll lamination process. This method enable continuous material pressing allowing for efficient and scalable manufacturing.

Researchers at Concordia University have developed an AI-driven robotic system that can autonomously perform cardiac ultrasound scans without human guidance. Trained using realistic simulated images and reinforcement learning, the robot learns to position and adjust the probe to capture diagnostic views. Tests show it can match or outperform human operators, potentially expanding access to reliable heart imaging in underserved settings. 

A study from Kyushu University argues that early medieval images were never truly silent. Focusing on a 12th–13th century English scroll, the research draws on predictive processing and the concept of “sound milieu” to show how visual imagery could activate imagined soundscapes in viewers' minds. The findings show that sonic details in the imagery engaged audiences through the full range of sensory experience, inviting a broader reconsideration of how medieval people encountered their world.

A new genomic study reveals that ancient hybridization and gene flow have shaped the genetic diversity and morphological evolution of rare wild water lilies in Hainan, offering key insights for conservation under climate change.