Forbes

How To Avoid Bias In Machine Learning Algorithms

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...

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 ...
InfoQ

Amazon SageMaker Provides New Built-in TensorFlow Image Classification Algorithms

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
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 ...

IIT Roorkee Launches Advanced Certificate Course In Quantum Computing, Algorithms

Participants will code, simulate, and benchmark advanced quantum algorithms while applying Quantum Machine Learning (QML) to ...
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 ...
Devdiscourse

Machine learning to deep learning: The new frontline in global phishing defense

According to the authors, this evolution marks a clear transition from traditional rule-based security toward data-driven, ...
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 ...