This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

Michael Ingram is a Senior Contributor from the United States of America. Michael has been writing for GameRant since 2021 with a previous history of personal analytical writing. Michael is a lifelong ...

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...