Visual Studio Magazine

Binary Classification Using a scikit Neural Network

Machine learning with neural networks is sometimes said to be part art and part science. Dr. James McCaffrey of Microsoft Research teaches both with a full-code, step-by-step tutorial. A binary ...
Yahoo Finance

WiMi Lays Out Scalable Quantum Convolutional Neural Network to Enhance Image Classification Accuracy and Efficiency

BEIJING, Sept. 15, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that ...
ascopubs.org

Diagnostic Classification of Cystoscopic Images Using Deep Convolutional Neural Networks

Home-Based e-Health Platform for Multidimensional Telemonitoring of Symptoms, Body Weight, Sleep, and Circadian Activity: Relevance for Chronomodulated Administration of Irinotecan, ...
Ars Technica

Given enough training images, computers compete with medics on diagnosis

While there are still many visual tasks where humans perform better than computers, computers are catching up. Part of the reason for computers' progress has been the development of what are called ...
Healio

Convolutional neural network detects malignant cholangioscopy image features

Please provide your email address to receive an email when new articles are posted on . LAS VEGAS – A trained convolutional neural network detected key cholangioscopy image features suggestive of ...
New Atlas

Optical brain-like chip processes almost 2 billion images per second

Researchers at the University of Pennsylvania have developed a powerful new optical chip that can process almost 2 billion images per second. The device is made up of a neural network that processes ...
Visual Studio Magazine

Binary Classification Using a scikit Neural Network

A binary classification problem is one where the goal is to predict the value of a variable where there are exactly two discrete possibilities. For example, you might want to predict the sex of a ...