A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

The ongoing AI revolution, marked by rapid advances towards artificial general intelligence (AGI), is transforming the way we live and work. This is ...

Bruins, D. , de Vroege, L. and van den Broek, A. (2026) The Mental Health of Mental Healthcare Professionals (MHCPs): A ...

Discover how AI is changing business operations, along with its downsides and challenges, including ethical concerns, skill gaps, and unhappy customers.

From AI basics and global diplomacy to New Delhi Declaration on AI Impact, India’s MANAV vision, major initiatives, and ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Abstract: The majority of computer vision algorithms fail to find higher-order (abstract) patterns in an image so they are not robust against adversarial attacks. Deep learning considers each input ...

Quantum computers, systems that process information leveraging quantum mechanical effects, are expected to outperform classical computers on some complex tasks. Over the past few decades, many ...

Image of the Throne Toilet Computer perched on the side of a toilet. (Daniel Cooper for Engadget) Throne has rocked up to CES 2026 to show off its forthcoming toilet computer which uses computer ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

This project implements Vision Transformer (ViT) for image classification. Unlike CNNs, ViT splits images into patches and processes them as sequences using transformer architecture. It includes patch ...

Generating synthetic data with diffusion models poses a challenge due to the scarcity of data in computer vision. However, its practical application presents challenges, including the need for ...