Mathematical modeling is the process of developing mathematical descriptions, or models, of real-world systems. These models can be linear or nonlinear, discrete or continuous, deterministic or ...

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.

Abstract: Sea-level rise is a major driver of coastal risk, yet estimates of future sea levels and coastal damages depend on a complex modeling chain with substantial uncertainty. In this talk, I ...

Simpson College students participated in the Consortium for Mathematics and its Applications (COMAP) math modeling competition from Jan. 29 to Feb 2. Students from around the world broke into teams to ...

The Covid-19 pandemic has triggered a wave of severe economic disruption around the world, causing widespread chaos, profound changes in the business landscape and overwhelming operational challenges.

"What's the difference between mathematical optimization and machine learning?" This is a question that — as the CEO of a mathematical optimization software company — I get asked all the time.

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Last week, Google Research held an online workshop on the conceptual understanding of deep learning. The workshop, which featured presentations by award-winning computer scientists and neuroscientists ...

Google Gemini 3 Deep Think model has been updated by the company with improvements to its mathematical and other scientific domains’ capabilities.

Previous chapters have addressed fracture geometry, physical and geomechanical properties of single fractures, fracture detection, and the interpretation of hydraulic and tracer tests. All of these ...