Cities are increasingly becoming the epicenter of climate-related risks, with research showing that impervious surfaces (e.g., roofs, streets, sidewalks, parking lots) are a major driver of urban climate impacts because they ...
Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods. The term "gentrification" ...
A recent satellite-based study has uncovered alarming declines in groundwater storage across High Mountain Asia (HMA), widely known as the "Asian Water Tower." This critical water source, which sustains agricultural irrigation, ...
A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears in the wild, despite the substantial changes that occur in their appearance over the summer season. ...
Water is everywhere, from the snowpack in the mountains to the tap in our kitchens. But while we often think about rainfall and snow as the main drivers of our water supply, it turns out that something we rarely see has just ...
For decades, the ability to visualize the chemical composition of materials, whether for diagnosing a disease, assessing food quality, or analyzing pollution, depended on large, expensive laboratory instruments called spectrometers. ...
Recent advances in the field of artificial intelligence (AI) have opened new exciting possibilities for the rapid analysis of data, the sourcing of information and the generation of use-specific content. To run AI models, ...
Chemistry deals with that most fundamental subject: matter. New drugs, materials and batteries all depend on our ability to make new molecules. But discovery of new substances is slow, expensive and fragile. Each molecule ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations of interatomic potentials, ...
A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change drives more intense and unpredictable rainfall.
