What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...
Understanding the temporal dynamics of gene expression within spatial contexts is essential for deciphering cellular differentiation. RNA velocity, which estimates the future state of gene expression ...
Abstract: Kernel-based subspace clustering, which addresses the nonlinear structures in data, is an evolving area of research. Despite noteworthy progressions, prevailing methodologies predominantly ...
Abstract: Kernel theory-based methods are widely used in modeling and fault detection for nonlinear systems. Among these, kernel partial least squares (KPLS) and kernel canonical correlation analysis ...
ABSTRACT: In this article, we study the impacts of nonlinearity and dispersion on signals likely to propagate in the context of the dynamics of four-wave mixing. Thus, we use an indirect resolution ...
The analysis of radiative feedbacks requires the separation and quantification of the radiative contributions of different feedback variables, such as atmospheric temperature, water vapor, surface ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results