Physical systems become inherently more complicated and difficult to produce in a lab as the number of dimensions they exist ...

Digital twins have evolved from a theoretical concept to a critical operational asset in industries such as power, oil and gas, and mining. They provide a virtual representation of physical assets and ...

Abstract: Stability conditions for discrete-time stochastic systems characterized by general stochastic processes have been discussed in earlier articles, under the assumption that the systems are ...

AI-driven process monitoring enhances the qualification of additively manufactured stainless-steel parts. By analysing high-frequency welding current and voltage signals in both the time and frequency ...

Welcome to the inference code for the paper "Protein Sequence Modelling with Bayesian Flow Networks". With this code, you can sample from our trained models ProtBFN, for general proteins, and AbBFN, ...

Researchers demonstrate a novel method for transforming continuous time crystals into discrete ones using subharmonic injection locking, offering new insights into symmetry breaking and control in ...

Solid-state battery developer QuantumScape shared another exciting milestone today: integrating its long-developed “Cobra” solid-state separator manufacturing process into its baseline production.

The story originates a few years after the graduate of Westport’s Staples High School left Syracuse University, not knowing what he wanted to do with his life, except that he was certainly not going ...

ABSTRACT: This study examines the comparative controllability of bilinear stochastic systems. By applying the Banach fixed-point theorem, necessary conditions for the relative controllability of ...

AI is streamlining onboarding processes for companies of various sizes. At Hitachi and Texans Credit Union, AI saves time and boosts engagement in the new-hire experience. This article is part of "AI ...

As global financial markets become increasingly interconnected, accurately modelling correlations between assets is essential. Traditional models often assume static correlations, which fail to ...