New study details how major real-world events grow and strengthen global hate networks online, inciting new hate content around specific hot-button issues.

In the largest predation event ever recorded, researchers observed capelin shoaling off the coast of Norway, where a swarm of cod overtook them, consuming over 10 million fish in a few hours. The team hopes to deploy their technique to monitor the large-scale dynamics among other species of fish and track vulnerable keystone species.

Our brains possess a cognitive mechanism that allows us to quickly recognize faces even with limited visual information. Focusing on this phenomenon, Toyohashi University of Technology investigated how the brain processes ambiguous visual stimuli resembling faces under unconscious conditions. The research team from the Visual Perception and Cognition Laboratory and the Cognitive Neuroengineering Laboratory in the Department of Computer Science and Engineering investigated, utilized a technique called Continuous Flash Suppression (CFS). This method involves rapidly presenting images to one eye to suppress the visual information of the other eye, enabling the study of processing mechanisms for ambiguous images under unconscious conditions. The research revealed that even ambiguous black-and-white stimuli reach consciousness more quickly when they resemble faces. This suggests that the brain responds rapidly even when facial cues are minimal. These findings were published online in the Journal of Vision on September 27, 2024. https://doi.org/10.1167/jov.24.9.18

The research team led by Dr. Jeong Min Park from the Nano Materials Research Division at the Korea Institute of Materials Science (KIMS) has successfully developed a new high-performance metal 3D-printed alloy tailored for space environments.

Seoul National University College of Engineering has announced that a research team led by Professor Ho Won Jang from the Department of Materials Science and Engineering has developed neuromorphic hardware capable of performing artificial intelligence (AI) computations with ultra-low power consumption.