Visual Studio Magazine

Data Dimensionality Reduction Using a Neural Autoencoder with C#

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on creating an approximation of a dataset that has fewer columns. Imagine that you have a dataset that has many ...
ascopubs.org

Evaluating Dimensionality Reduction for Patient-Reported Outcome–Based Survival Modeling in Patients With Head and Neck Cancer

This study aims to improve survival modeling in head and neck cancer (HNC) by integrating patient-reported outcomes (PROs) using dimensionality reduction techniques. PROs capture symptom severity ...
Yahoo Finance

WiMi Releases Next-Generation Hybrid Quantum Neural Network Structure Technology, Breaking Through the Bottleneck of Image Multi-Classification

BEIJING, Dec. 22, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, launched a hybrid ...
Investing

WiMi launches hybrid quantum neural network for image classification

BEIJING - WiMi Hologram Cloud Inc. (NASDAQ:WIMI) has introduced a hybrid quantum neural network structure (H-QNN) designed for image multi-classification, according to a press release statement issued ...
insideHPC

The Amazing Applications of Graph Neural Networks

Poly-Dimensionality Machine Learning Scale The critical distinction in applying graph neural networks to the foregoing use cases and applying typical machine learning approaches is the complexity of ...