Previously, research on controlling gene networks has been carried out based on a single stimulus-response of cells. More recently, studies have been proposed to precisely analyze complex gene networks to identify control targets. A KAIST research team has succeeded in developing a universal technology that identifies gene control targets in altered cellular gene networks and restores them. This achievement is expected to be widely applied to new anticancer therapies such as cancer reversibility, drug development, precision medicine, and reprogramming for cell therapy.

Warwick primatologists, in collaboration with the Max Planck Institute, have shown that young orangutans develop their nighttime nest building skills via observational social learning - by closely watching others and then practicing these complex constructions.

This new crystal growth technology uses tungsten to create single crystals that can stand extreme temperatures - a new achievement in the field.

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial intelligence models—without needing access to the original training data. The innovation compels AI models to “forget” selected information while maintaining the models’ functionality with the remaining data. It’s a significant advancement that can amend models without having to re-make them with the voluminous original training data, which is costly and energy-intensive.