NUS researchers develop planning framework to balance clean energy transitions with river ecosystem protection
Peer-Reviewed Publication
Updates every hour. Last Updated: 8-Oct-2025 01:17 ET (8-Oct-2025 05:17 GMT/UTC)
University of Warwick research demonstrates how to engineer ‘cell factories’ that last longer and produce more chemicals, without needing antibiotics or complex engineering methods, paving the way for sustainable biotech that lasts.
The human brain does more than simply regulate synapses that exchange signals; individual neurons also process information through “intrinsic plasticity,” the adaptive ability to become more sensitive or less sensitive depending on context. Existing artificial intelligence semiconductors, however, have struggled to mimic this flexibility of the brain. A KAIST research team has now developed next-generation, ultra-low-power semiconductor technology that implements this ability as well, drawing significant attention.
KAIST (President Kwang Hyung Lee) announced on September 28 that a research team led by Professor Kyung Min Kim of the Department of Materials Science and Engineering developed a “Frequency Switching Neuristor” that mimics “intrinsic plasticity,” a property that allows neurons to remember past activity and autonomously adjust their response characteristics.
A research team has developed a powerful unsupervised deep learning network that can accurately separate wood and leaf components in 3D point clouds of trees—without the need for labor-intensive data labeling.
A research team has developed an innovative three-dimensional (3D) tree modeling method that dramatically improves accuracy in estimating tree structure and volume.