Structured light can significantly enhance information capacity, due to its coupling of spatial dimensions and multiple degrees of freedom. In recent years, the combination of structured light patterns with image processing ...
Traditional environmental health research often focuses on the toxicity of single chemical exposures. However, in real-world situations, people are exposed to multiple pollutants simultaneously, which can interact in complex ...
A collaborative team of researchers led by Ben Weinstein of the University of Florida, Oregon, US, used machine learning to generate highly detailed maps of over 100 million individual trees from 24 sites across the U.S., ...
Rock weathering and plate tectonics are vital to life. They both regulate the planet's surface temperature and provide bio-essential nutrients. But how and when these critical processes began on Earth is still a mystery. ...
Amidst the challenges posed by climate change in predicting typhoons, a team of researchers has developed a technology that leverages real-time satellite data and deep learning capabilities to predict typhoons with greater ...
Artificial intelligence (AI) could be used to identify drug resistant infections, significantly reducing the time it takes for a correct diagnosis, Cambridge researchers have shown. The team determined that an algorithm could ...
The JACS Au has just published an invited perspective by Dr. Saer Samanipour and his team on the daunting challenge of mapping all the chemicals around us. Samanipour, an Assistant Professor at the Van 't Hoff Institute for ...
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 ...
