Recent breakthroughs in self-supervised Joint-Embedding Predictive Architectures (JEPAs) have established that regularizing Euclidean representations toward isotropic Gaussian priors yields provable ...
AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...
Linux 6.17 features significant CPU improvements. It addresses the eternal Spectre and Meltdown security holes. The next release, 6.18, will be a long-term support kernel. Linus Torvalds is the first ...
1 Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States 2 Department of Psychology and Neuroscience, University of Colorado, Boulder, CO, United States Kernel Canonical ...
A new Microsoft announcement suggests it has found a way to deliver kernel-level visibility and capabilities to apps running in user mode. Experts conclude a ban on kernel access for cybersecurity ...
SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI company, announced the availability of its hybrid search capabilities for Microsoft’s Semantic Kernel project, making Elastic’s ...
As AI continues to reshape the way developers build applications, Microsoft's Semantic Kernel is emerging as a powerful tool for integrating AI-driven capabilities into existing codebases -- without ...
In the contemporary field of life sciences, researchers have gradually recognized the critical role of microbes in maintaining human health. However, traditional biological experimental methods for ...
Abstract: This paper proposes a Gaussian-Cauchy mixture maximum correntropy criterion Kalman filter algorithm (GCM_MCCKF) for robust state estimation in linear systems under non-Gaussian noise, ...
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