A research team has developed an artificial intelligence (AI)-enabled method that can map river depth across long reach with high sediment concentration, where conventional satellite bathymetry often struggles. 

Researchers have developed a new way to generate realistic synthetic training data for agricultural robots by recreating tomato cultivation environments in a virtual world. The approach could help overcome one of the biggest barriers in agricultural robotics: the time and labor required to collect and manually label real-world data under challenging greenhouse conditions such as changing lighting, dense foliage, and fruit occlusion.

A humanitarian medical delegation of senior physicians and medical students has begun operating in Kenya as part of the “Humanitarian Elective,” an initiative focused on supporting local healthcare teams while providing participants with immersive clinical experience in resource-limited settings. Through hands-on work in emergency and pediatric medicine, students are learning to navigate medical crises, healthcare inequality, cultural differences, and severe shortages of equipment and infrastructure. Organizers hope the program will help shape a new generation of globally minded physicians and establish humanitarian medicine as a natural part of medical training.