Some of the world’s leading scientific infrastructures, institutions and experts relating to biodiversity information are uniting around a new 10-year roadmap to ‘liberate’ data presently trapped in research publications. The initiative aims to enable the creation of a ‘libroscope’ - a mechanism for unlocking and linking data from scientific literature to support understanding of biodiversity, as the microscope and telescope previously revolutionized science.

Generative artificial intelligence (GenAI) tools, which mimic human-like conversations have the capacity to respond to questions, admit mistakes, and provide instantaneous linguistic feedback. A new study among college students in China has revealed the technological, educational, and social applications, as well as the limitations, of GenAI feedback. This study highlights the potential of GenAI feedback to enhance L2 writing outcomes, despite its current shortcomings.

A research team led by KAANG Bong-Kiun, director of the Center for Cognition and Sociality within the Institute for Basic Science (IBS), and KO Hyoung-Gon, professor at Kyung Hee University College of Dentistry, have uncovered the neural mechanisms underlying the processing of pain and itch in the anterior cingulate cortex (ACC). This study provides new insights into how the brain distinguishes between these two distinct sensory experiences.

Researchers from UVM have leveraged the power of continental scale water modeling and artificial intelligence to provide water quality forecasts across the country. Their findings offer a new application of the National Water Model, creating a pathway towards a national capacity to forecast water quality. Leveraging this new technology will allow public drinking water suppliers and operators nationwide to anticipate potential water quality disruptions with greater confidence. 

UC San Diego engineers have developed a new computational approach to accurately model and predict the properties of a class of magnetic molecules called chiral helimagnets. Their work could accelerate the discovery of new materials for spintronics technologies.

In recent years, China has been rapidly advancing the development of its low-altitude economy, with 2024 being recognized as the "Year One" of low-altitude economy in China. Driven by policy support and technological innovation, China’s low-altitude economy is expected to grow into a trillion-yuan industry in 2025, positioning itself as a key driver of economic transformation and industrial upgrading. This rapid expansion presents both opportunities and challenges for Geographic Information Science and Technology, which plays a crucial role in optimizing airspace management and supporting UAV-based applications. A research team from the State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, carried out a comprehensive review on the opportunities and challenges for Geographic Information Science and Technology in this evolving field. Their study provides valuable insights into the role of geographic information technologies in supporting low-altitude economic activities, particularly in the areas of airspace resource utilization, air traffic infrastructure, and UAV operation management. The study offers a scientific foundation for advancing geographic information applications in this field. Journal of Geo-information Science has published the study.