MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Convolutional Neural Network, Achieving New Breakthrough in MNIST Multi-Class Classification

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...
FoodNavigator

Predicting ultra-processing in food with machine learning algorithm

Acknowledging the pain points of the NOVA classification system, researchers have developed a machine learning algorithm to accurately predict the degree of processing for any food. The extent to ...
Visual Studio Magazine

Implementing k-NN Classification Using C#

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...
The Washington Post

What it takes to get useful health data from your smartwatch

Training an algorithm is an essential part of translating our bodies’ signals into early diagnoses. The human body constantly generates a variety of signals that can be measured from the outside with ...
Healio

Machine learning model improves mortality risk prediction in cardiac surgery

Please provide your email address to receive an email when new articles are posted on . A machine learning-based model more accurately predicted mortality after cardiac surgery than population-based ...
The American Journal of Managed Care

Machine Learning Capable of Predicting Hyperlipidemia in People With HIV

Machine learning models, particularly LightGBM, effectively predict hyperlipidemia in PLWH on HAART for six months, with high accuracy and area under curve values. The study's limitations include ...