Deep learning model can predict cardiopulmonary disease in retinal images of premature infants

A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...
Tech Xplore

Stress-testing AI vision systems: Rethinking how adversarial images are generated

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
Tech Xplore

Grok created three million sexualized images, research says

Elon Musk's AI chatbot Grok generated an estimated three million sexualized images of women and children in a matter of days, ...
IEEE

Zero-Shot Image Recognition via Learning Dual Prototype Accordance Across Meta-Domains

Abstract: Zero-shot learning (ZSL) aims to recognize unseen classes by transferring semantic knowledge from seen categories. However, existing methods often struggle with the persistent semantic gap ...
IEEE

Deep neural network interpretability for image classification based on semantic compressed perception

Abstract: With the rapid development of deep learning technology, as one of the core tasks in the field of computer vision, the accuracy of image classification has been significantly improved.