The article discusses the growing impact of artificial intelligence (AI), focusing on one application: weather reconstruction. AI, particularly neural networks, is used to improve the accuracy and availability of weather data, which has broad implications, such as reducing airport delays and related costs. Traditional weather stations only provide data from limited locations, so AI helpsContinue reading “Physics-informed neural networks for high-resolution weather reconstruction from sparse weather stations”
A research group at Universidad Carlos III de Madrid conducting cutting-edge research for smart and sustainable aviation