Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Large language models struggle to solve research-level math questions. It takes a human to measure just how poorly they ...

Mathematicians finally understand the behavior of an important class of differential equations that describe everything from ...

The field of infectious disease epidemiology is continually challenged by the emergence and re-emergence of pathogens, which can have profound societal, ...

Despite decades of independent progress in population ecology and movement ecology, researchers have lacked a theoretical ...

Randles began her career as a physicist and she explains why she was drawn to the multidisciplinary research that she does today. Randles talks about her enduring love of computer coding and also ...

We've all heard the best approach to solve a problem is to "sleep on it." It turns out there may be more truth to this adage ...

Scientists at Hopkins, University of Florida simulate and predict human behavior during wildfire evacuation, allowing for improved planning and safety ...

Abstract: This paper discusses the complementary relationship between Modeling and Simulation (M&S) and Artificial Intelligence (AI) methods like machine learning. While M&S uses algorithms to model ...

Abstract: Uncrewed aerial vehicles (UAVs) are increasingly used in close-range remote sensing due to flexible multiangle observations and high spatial resolution. However, fine-scale surface ...