The following is a summary of "An artificial intelligence model utilizing endoscopic ultrasonography for differentiating ...

Researchers from Berlin University of Applied Sciences and Technology, University of Duisburg-Essen, and Einstein Center ...

The study demonstrates that AI can markedly enhance diagnostic accuracy in 2D mammographic screening, a method long regarded ...

A pioneering study published in Science Bulletin introduces an innovative data management framework that integrates AI and ...

Patent-pending imaging technologies created in Purdue University's College of Engineering could be developed and ...

In a defining moment for Arabic-language artificial intelligence, CNTXT AI has unveiled Munsit, a next-generation Arabic ...

Abstract: Recently, Randomly Wired Neural Networks (RWNNs) using random graphs for Convolutional Neural Network (CNN ... reaches maximum graph-based architecture depth without redundant node use, ...

Researchers in Singapore and the US have independently developed two new types of photonic computer chips that match existing ...

This chapter discusses the basics of computer vision and determines how convolutional neural networks work. In recent years, deep learning achieved great momentum thanks to the ability to code certain ...

Performance Metrics of the Model: The effectiveness of AI-based hardware Trojan (HT) detection models can be assessed by a range of classification metrics, including accuracy, precision, recall (true ...

The to begin with thought when choosing a neural organize engineering is the nature of the issue you are attempting to unravel. Is it a classification assignment, a relapse issue, a arrangement ...

Joshua Vickers explores why the smartest machines cannot tell the time. In 2025, as generative artificial intelligence dazzles with fluency, invention, and compositional flair, it has stumbled — quite ...