We noted many inefficiencies while discussing our past experiences working within traditional corporate structures. In researching a flat structure approach to building a business, we aimed to ...

Abstract: Stochastic Configuration Networks (SCNs) perform well in machine learning and data mining tasks in complex data environments. However, traditional SCNs have limitations in network size and ...

industrials and computing appear to be supporting growth for Lattice. Management is adamant on managing the firm’s cost structure, potentially resulting in strong operating leverage in the ...

J. W. Menter 1 succeeded for the first time in observing the lattice structure and the edge dislocation contained in it in crystals of metal phthalocyanines. This method is also applicable to the ...

Lees JA, Tonkin-Hill G, Yang Z, Corander J. Mandrake: visualizing microbial population structure by embedding millions of genomes into a low-dimensional representation. Philosophical Transactions of ...

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...

This is illustrated by solitons with complex morphology, such as tailed skyrmion bags with and without chiral kinks. For the MEP calculations and stochastic LLG simulations, we used an effective ...

In this article, we present a comprehensive review of the recent advances in the emerging stochastic artificial neurons (SANs ... A typical filament-based memristor comprises a metal–electrolyte–metal ...

For simple models of a mutant or pathogen invading a network-structured population of healthy cells, we show that skewed distributions of incubation periods emerge for a wide range of assumptions ...