Mathematical models have become an integral part of cancer biology. They are useful tools for deriving a mechanistic understanding of dynamic processes in cancer. The somatic evolutionary process, ...

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

Deputy Director of the DSI-NRF Centre of Excellence in Mathematical and Statistical Sciences and Senior Lecturer in the School of Computer Science and Applied Mathematics, University of the ...

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.

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 ...

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, ...

Mathematical modeling helps researchers to understand how enzymes in the body work to ensure normal functioning. The models also can show how genetic mutations alter the enzymes' behavior in ways that ...

Abstract: Early detection and treatment are key components in improving patient survival rates in cases of soft tissue cancers. In this talk, we present a linear elasticity model that describes the ...

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 ...

Many math teachers around the country have adjusted their expectations for students as a result of the Common Core State Standards. But a pilot professional-development program is going above and ...