Activists on the front lines of wildlife conservation routinely monitor news articles for information about infrastructure projects that could threaten at-risk animals. But that monitoring required more staff time than organizations ...
A group of researchers has successfully demonstrated automatic charge state recognition in quantum dot devices using machine learning techniques, representing a significant step toward automating the preparation and tuning ...
Climate models are a key technology in predicting the impacts of climate change. By running simulations of the Earth's climate, scientists and policymakers can estimate conditions like sea level rise, flooding, and rising ...
An Osaka Metropolitan University research team has found a deicing mixture with high effectiveness and low environmental impact after using machine learning to analyze ice melting mechanisms of aqueous solutions of 21 salts ...
Cultivating creativity in schools is vital for a future driven by artificial intelligence (AI). But while teachers embrace creativity as an essential 21st century skill, a lack of valid and reliable creativity tests means ...
Aquatic ecosystems are complex environments that can be affected by many variables, including weather, the biological activities of the organisms living within them, and anthropogenic nutrient pollution. The influence these ...
Optical analysis and machine learning techniques can now readily detect microplastics in marine and freshwater environments using inexpensive porous metal substrates. Details of the method, developed by researchers at Nagoya ...
Researchers have harnessed the power of artificial intelligence to significantly advance the discovery and optimization of multicomponent metal oxide electrocatalysts for the oxygen reduction reaction (ORR).
For the Ningxia area, located in the arid and semi-arid regions of China, groundwater is one of the most important sources of drinking water. However, there has been little research on the application of machine learning ...
Machine learning models for more sustainable and affordable housing in regional areas, assessing bushfire risk as well as consideration for disability, biodiversity and also a place for animals in urban residential settings ...
