Their work introduces a new concept called q-desics, short for quantum-corrected paths through space–time. These paths ...

Scientists from Tokyo Metropolitan University have re-engineered the popular Lattice-Boltzmann Method (LBM) for simulating ...

For much of my career, I have been fascinated by the ways in which materials behave when we reduce their dimensions to the ...

We describe computationally efficient methods for Bayesian model selection. The methods select among mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs), ...

Abstract: A variety of real-world applications rely on accurate predictions of 3D human motion from their past observations. While existing methods have made notable progress, their predictions over ...

This Research Topic aims to motivate scientists to explore deep interactions between physics and linguistics through discussions on the significance and applicability of methodologies based on physics ...

Abstract: This article applies high-order differential estimation to the motion planning of humanoid robots for the first time. A multiobjective optimization model and the corresponding optimal policy ...