Under the engagement, Tensor Medium will support reactor modeling and simulation efforts for Eagle’s SMR program, including reactor engineering support, materials optimization, quantum development, ...

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...

Fish that split their lives between fresh and salt water often face obstacles getting back and forth. Dams and roads fracture ...

A team of researchers has unveiled a groundbreaking mathematical method that could dramatically improve how spacecraft visit multiple moving celestial bodies, a problem that has long puzzled mission ...

Abstract: Islanded microgrid formation (IMF) enhances active distribution network resilience but is challenging for current mathematical optimization methods due to its mixed-integer nonlinear nature.

Abstract: Programs involving discontinuities introduced by control flow constructs such as conditional branches pose challenges to mathematical optimization methods that assume a degree of smoothness ...

This course teaches an overview of modern mathematical optimization methods, for applications in machine learning and data science. In particular, scalability of algorithms to large datasets will be ...

OptiMind is a specialized language model that translates natural-language problem descriptions directly into solver-ready mathematical optimization formulations. This removes one of the most expertise ...

ABSTRACT: This work focuses on the security of mobile payments in Internet of Things networks, with particular emphasis on the integration of post-quantum cryptographic principles. The study adopts a ...