Medical Design & Outsourcing

HOPPR releases EB 2D mammography foundation model for AI development

HOPPR Releases 2D Mammography Foundation Model to Accelerate AI Innovation in Breast Imaging New Vision Transformer-based (ViT) model HOPPR says its new EB 2D Mammography Foundation Model helps ...
Nature

Error-Correcting Output Codes in Multi-Class Classification

Error-Correcting Output Codes (ECOC) provide a robust framework for decomposing multi-class classification challenges into multiple binary sub-problems. By constructing a codematrix that assigns each ...

WiMi Develops Single-Qubit Quantum Neural Network Technology for Multi-Task Design

(NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced the development of single-qubit quantum neural network technology for ...
Visual Studio Magazine

Multi-Class Classification Using a scikit Decision Tree

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A multi-class classification problem is one where the goal is to predict the ...
Visual Studio Magazine

Multi-Class Classification Using PyTorch, Part 1: New Best Practices

A multi-class classification problem is one where the goal is to predict a discrete value where there are three or more possibilities. For example, you might want to predict the political leaning ...