Visual Studio Magazine

Multi-Class Classification Using a scikit Neural Network

Dr. James McCaffrey of Microsoft Research says a neural network model is arguably the most powerful multi-class classification technique. A multi-class classification problem is one where the goal is ...
TMCnet

WiMi Studies Hybrid Quantum-Classical Learning Architecture for Multi-Class Image Classification

In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...
Phys.org

Researchers develop neural network for large-scale celestial object classification

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...
Forbes

Artificial Intelligence Is Learning To Categorize And Talk About Art

It’s hard enough for people to categorize or discuss art, but it’s even more difficult for artificial intelligence. Several research groups have recently tried to apply machine learning to large ...
Indiatimes

Decoding the magic of ANNs

I have come across various ways of defining Artificial Neural Networks (ANNs). Many of them miss a fundamental characteristic of theirs. An ANN is a machine learning model. Like all machine learning ...
Visual Studio Magazine

Multi-Class Classification Using a scikit Neural Network

Arguably the most powerful multi-class classification technique is a neural network model. There are several tools and code libraries that you can use to create a neural network classifier. The scikit ...
Vietnam Investment Review on MSN

WiMi researches hybrid quantum classical learning for multi-class image classification

BEIJING, Dec. 5, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), is a leading global Hologram Augmented Reality ("AR") Technology provider. On the basis of ...