As data analytics increasingly shapes economic and social decision-making, its application is no longer confined to large corporations or institutional settings. Instead, analytical frameworks are ...

The digital advertising ecosystem has reached a critical inflection point where reactive brand safety measures are no longer ...

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

In a study conducted at the University of Helsinki, AI was trained to classify bird sounds with increasing accuracy. The ...

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...

Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...

Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Abstract: As one of the core tasks in vision recognition, image classification is widely used in various scenarios. Most existing mainstream image classification models use the Convolutional Neural ...

Crude oil is heated to the boiling point in a test tube, and the individual fractions are collected separately. (2) This is a model experiment for how a crude-oil refinery works. Paraffin is heated in ...