The Helfrich theory of membrane bending, supported by molecular dynamics simulations, is a promising approach for evaluating ...

Recent advances in large foundation models promise to automate complex tasks in architecture, engineering, and construction (AEC). These models offer ...

In blockchain, game theory transforms trustless environments into robust ecosystems by designing incentives that reward ...

July is thus far shaping up to be a more balanced month with the Dividend Kings collectively seeing a 1.41% gain, through ...

“The AI+ Expo provided an excellent platform to showcase ORNL's advancements in AI for science and to highlight how AI is transforming the scientific discovery across theory, modeling and simulation, ...

The eastern Baltic cod has shrunk dramatically in size in recent decades due to rapid evolution — changes at the genetic ...

In contrast to existing traffic prediction models, large language models (LLMs) progress mainly through parameter expansion and extensive pre-training while maintaining their fundamental structures.

We present a flexible framework for uncertainty principles in spectral graph theory. In this framework, general filter functions modeling the spatial and spectral localization of a graph signal can be ...

Probability and Statistics Group research at the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh.