Self-configuring optical devices automatically learn how to sort out light

Light can be sculpted into countless shapes. Yet building optical devices that can simultaneously manipulate many different ...
IEEE

Partially Interacting Multiple-Model Algorithm With Maneuvering Parameters Initialized by Gaussian Mixture

Abstract: The challenge of maneuvering target tracking lies in the difficulty of handling the uncertainty of target motion types and the uncertainty of maneuvering parameters simultaneously. In this ...
GitHub

AKDE: Multivariate Adaptive Kernel Density Estimation Using Gaussian Mixture Model

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 ...
IEEE

Novel Approach and Index for Evaluating Harmonic Contributions of Multiple Harmonic Sources Based on Gaussian Mixture Model with Multipoint Harmonic Phasor Measurements

Abstract: Determining the harmonic contributions (HCs) of multiple harmonic sources (HSs) is a challenging task owing to the large fluctuations of background harmonic sources (BHSs) that impede the ...
VentureBeat

Nvidia debuts Nemotron 3 with hybrid MoE and Mamba-Transformer to drive efficient agentic AI

Nvidia launched the new version of its frontier models, Nemotron 3, by leaning in on a model architecture that the world’s most valuable company said offers more accuracy and reliability for agents.