Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Quantitative determination of the relative contributions from multiple sources in ...

Esri executives showed the new XR capabilities in the ArcGIS XR Viewer to bring BIM and other data into one interactive map environment at the Esri User Conference in San Diego July 14. Mapping ...

There seems to be a gross mismatch in the probability density functions of multivariate Gaussian mixture models between CPU and CUDA implementations. The following code snippet provides a minimal ...

Even though it might seem like Tesla has a lot going on—robotaxis, literal humanoid robots, and that ever-elusive affordable model that just keeps getting pushed back—its aging core lineup has only ...

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. The AI boom has been defined by unprecedented innovation across nearly every sector. From ...

[Nov 7, 2025] GM-Qwen-Image and GM-FLUX is now available for ComfyUI via the ComfyUI-piFlow extension. Supports 4-step sampling of Qwen-Image and Flux.1 dev using 8-bit models on a single ...

The workflow for SGMM-based global soybean mapping. Specifically, TW is the soybeanmapping time window determined by the selected features: Shortwave Infrared 1 (SWIR1),Enhanced Vegetation Index (EVI) ...

Abstract: The Gaussian mixture model (GMM) is a powerful tool to establish the probability distributions of random variables in power system analyses. GMM can model arbitrary probability distributions ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the sudden and dramatic surge of ...