Scientific Research Publishing

Proposal for a Machine Learning Model to Improve Hauling Productivity in an Open-Pit Mine ()

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
HotHardware

AMD Zyphra GPU Cluster Gives Birth To ZAYA 1 MoE AI Model, Smokes Llama3.1

AMD is in a celebratory mood after AI research firm Zyphra successfully trained its cutting-edge, large-scale Mixture-of-Experts (MoE) model, ZAYA1, entirely on AMD’s accelerated computing platform, ...
GitHub

Annotated Corpus Map: add option for clustering based on distances in n-dimensional space based on features

Is your feature request related to a problem? Please describe. Annotated Corpus Map performs DBSCAN and Gaussian-mixture-models clustering based on distances in the 2D projection (e.g., t-SNE x and y) ...
Frontiers

Learning Gaussian graphical models from correlated data

Gaussian Graphical Models (GGMs) are a type of network modeling that uses partial correlation rather than correlation for representing complex relationships among multiple variables. The advantage of ...
Reuters

China's Baidu says its Kunlun chip cluster can train DeepSeek-like models

BEIJING/SHANGHAI, April 25 (Reuters) - China's Baidu (9888.HK), opens new tab has successfully "illuminated" a cluster comprising 30,000 of its self-developed, third generation P800 Kunlun chips, ...
AOL

China's Baidu says its Kunlun chip cluster can train DeepSeek-like models

BEIJING/SHANGHAI (Reuters) -China's Baidu has successfully "illuminated" a cluster comprising 30,000 of its self-developed, third generation P800 Kunlun chips, which can support the training of ...
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 ...