Using field sensors, various ecological modelling technologies and deep learning algorithms, a French research team has developed a method for mapping the risk of collisions between animals and vehicles along transport infrastructures. In the future, it could contribute to collision management in autonomous vehicles thanks to connected infrastructures. The study is published in the open-access journal Nature Conservation.

Medical artificial intelligence (AI) has progressed rapidly over the years, driven by novel foundation and large language models. This is highly promising for transforming medical education and healthcare delivery. Now, a review in the Chinese Medical Journal by researchers from China highlights the prospects and points to challenges related to data collection, analysis, and privacy. It emphasizes the importance of effective collaboration among various stakeholders to ensure a bright future for AI in healthcare.

Professor Jongmin Kim's research team at POSTECH developed a new technology that improves the precision and integration density of synthetic genetic circuits.

A research team from South China Normal University and Shanghai University has developed a metal-organic framework (MOF) chemistry engineering for hierarchical micro-/nano-structural F, O-dual-doped carbon embedded oxygen vacancy enriched LiMn₂O₄ cathode (O_V-LMO@FOC) for longevous lithium storage. By enhancing ionic/electronic conductivity and inhibiting Mn²⁺ dissolution, this innovative approach has led to over 1000 stable battery cycles with exceptional capacity retention. This study envisions the MOF-chemistry in surface modification and electronic modulation engineering of high-performance cathode materials towards industrialization in automotive market.

An Osaka Metropolitan University research team has revealed that to use the aquifer thermal energy storage (ATES) system safely over the long term it is crucial to investigate the groundwater quality before operating the system and to continuously monitor the water quality.

A study led by the School of Engineering of the Hong Kong University of Science and Technology (HKUST) has developed a groundbreaking thermal-electric aerosol (TEA) printer that significantly accelerates piezoelectric biofilm manufacturing. Achieving a speed that is two orders of magnitude faster than existing technologies, this innovation paves the way for the industrial-scale production of biocompatible and biodegradable electronics, with medical applications such as ultrasonic energy harvesters for postoperative cardiac patients.