Abstract: Working with and analyzing geospatial data requires a different and often nuanced approach from most data types, especially to derive spatial predictions and detect patterns using ...

Medicine makers need to get better at math. Improved mathematical modeling would accelerate the move toward automated processes, cut production times, and reduce costs. Researchers Francesco Destro, ...

The GSMM Camp is a weeklong workshop that builds interdisciplinary problem-solving skills for graduate and advanced undergraduate students. Participants work in teams on mathematically rich problems ...

Kimberly Dautel, a mathematical modeling Ph.D. student, is undertaking COVID-19 modeling research thanks to a fellowship from the U.S. Food and Drug Administration’s Center for Devices and ...

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...

Several University of Colorado Boulder undergraduates showed off their communication, programming and mathematical skills earlier this year in the 37th annual Math Contest in Modeling that featured 26 ...

Researchers have introduced Light-R1-32B, a new open-source AI model optimized to solve advanced math problems. It is now available on Hugging Face under a permissive Apache 2.0 license — free for ...

Time travel has long been a staple of science fiction, capturing the imaginations of storytellers and scientists alike. Recent breakthroughs in mathematical modeling might bring this fantastical ...

Why do we need to understand the dynamics of the cell cycle? The cell cycle is a mechanism that controls and integrates the stages of DNA synthesis, mitosis, and cell division. This mechanism dictates ...

Using tumor growth modeling and informed neural networks as early predictive clinical endpoints. 2007 Continuous dispersion for invasive motility. 2009 Invasive growth with cell density and oxygen.