Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to ...

Abstract: Convolutional neural network image classifiers are defined and the rate of convergence of the misclassification risk of the estimates towards the optimal misclassification risk is analyzed.

Progress in computer technology often starts with the gaming world, and innovative gaming experiences are largely driven by ...

Embedl raises €5.5 million to develop AI in embedded systems June 18, 2025 by Sam Francis Swedish deeptech company Embedl ...

Despite longstanding reliance on sputum smear microscopy, culture methods, and chest X-rays, conventional TB diagnostics ...

Bryant's AI lab main page describes the lab as “a hub for students and faculty to collaborate and explore the potential of AI ...

The application uses Convolutional Neural Network (CNN) to identify disease symptoms from images of leaves, and is small ...

Esther Ugwueke is a biomedical expert and PhD student at the University of Nebraska Medical Center, United States, where she ...

AI-driven text-to-image generation models have shaken up digital art and content creation, enabling any user, regardless of ...

The brains of humans and other primates are known to execute various sophisticated functions, one of which is the ...

Researchers have developed a groundbreaking 3D brain model that closely mirrors the architecture and function of the human ...