Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether ...

This study aimed to develop and validate a preliminary classification and diagnostic model for rheumatoid arthritis-associated interstitial lung disease (RA-ILD) using routine, readily available ...

Researchers at Google Threat Intelligence Group (GTIG) say that a zero-day exploit targeting a popular open-source web administration tool was likely generated using AI. The exploit could be leveraged ...

Abstract: Sound classification model DPNet, the paper describes a privacy-preserving deep learning model that is very light and can work on microcontrollers with limited resources for real-time ...

Abstract: This study presents an artificial intelligencebased nationality classification model using English-transcribed Korean names and explores its applicability to monitoring researcher mobility.

Researchers from the Indian Institute of Technology Gandhinagar (IITGN) presented an approach that combines scanning electron microscopy (SEM) with a computer vision model and a web-based application ...

The lack of precise, autonomous tools for monitoring and classifying cattle behavior limits farmers’ ability to make proactive and informed decisions regarding grazing and herd management. Currently, ...

Learn how to visualize a magnetic field model using Python! 🧲💻 In this tutorial, we’ll walk through creating a 2D vector field to represent the magnetic forces around a dipole. Perfect for physics ...

December 10, 2025—The Software Engineering Institute (SEI) today released a white paper describing the forthcoming Artificial Intelligence (AI) Adoption Maturity Model, which aims to help ...

A team of Mayo Clinic scientists have created a way to estimate a person’s risk of developing memory and thinking problems long before symptoms of Alzheimer’s disease begin, potentially changing how ...

Researchers at the University of California San Diego School of Medicine have developed a new approach for identifying individuals with skin cancer that combines genetic ancestry, lifestyle and social ...