New research from Fujita Health University reveals that talking can subtly delay the eyes’ ability to detect and stabilize on visual information. In experiments comparing talking, listening, and control conditions, only talking caused slower reaction, movement, and fixation times during rapid eye-movement tasks. Because driving depends heavily on fast gaze shifts, these delays may impair hazard detection and slow physical responses. The findings highlight the hidden risks of engaging in conversation while driving.

A research team developed a fully automated, drone-based phenotyping workflow that can measure key peanut canopy and architecture traits at scale—without the usual manual plot tracing and time-consuming image cleanup.

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the accurate and timely diagnosis of plant diseases.

A research team has developed CornPheno, a smartphone-based tool designed to revolutionize corn phenotyping.

A research team has developed a method for improving crop growth monitoring by accurately estimating the fraction of absorbed photosynthetically active radiation (fAPAR) throughout the entire rice growth cycle.

Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and adjust goals even in the face of sudden changes. However, "Model-Free reinforcement learning," which is widely used in robotics and exemplified by AlphaGo’s famous match against Lee Sedol, struggle to achieve these two capabilities simultaneously. KAIST's research team has discovered that the secret lies in the unique information processing method within the prefrontal cortex, a principle that could serve as the foundation for developing "Brain-like AI” that is both flexible and stable.