DICE and Electronic Arts’ Battlefield series has effectively carved out a nice niche among contemporary military shooters in ...

With leftover props and a relentless and uncompromising drive, he created a theme-park business strong enough to challenge ...

A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...

Can light perform millions of calculations at once without extra materials? A new optical system shows how this can be done. Artistic depiction of a diffractive optical processor for massively ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...

Abstract: Unlike the universal approximation theorems for functions mapping from a real-valued (RV) vector to an RV number or from a complex-valued (CV) vector to a CV number, in the field of ...

ABSTRACT: The Faleme sub-watershed is influenced by several environmental factors. Located at the convergence of the Sudano-Guinean, Sudanian, and Sahelian climatic zones, the region is subject to ...

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...

Recent work has established an alternative to traditional multi-layer perceptron neural networks in the form of Kolmogorov-Arnold Networks (KAN). The general KAN framework uses learnable activation ...