Silicon metasurfaces boost optical image processing with passive intensity-based filtering

Of the many feats achieved by artificial intelligence (AI), the ability to process images quickly and accurately has had an ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

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

PolyU develops novel AI graph neural network models to unravel interdisciplinary complexities in image recognition and neuroscience

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
9to5google

Gemini 3 Flash’s new ‘Agentic Vision’ improves image responses

Agentic Vision is a new capability for the Gemini 3 Flash model to make image-related tasks more accurate by “grounding answers in visual evidence.” Frontier AI models like Gemini typically process ...
Hosted on MSN

Photoshop tutorial: How to make a night-vision image

Photoshop CS6 Extended tutorial showing how to transform an ordinary nighttime photo into a dramatic, night-vision image with cross-hairs and a monocular scope effect. Canada's Carney fires back at ...
GitHub

cv-examples

A set of real time computer vision demos built with MediaPipe and React, including object detection, image classification, hand gestures, and face landmark tracking.
Frontiers

Enhancing Ishihara and educational images using machine learning: toward accessible learning for colorblind individuals

Color Vision Deficiency (CVD) affects over 300 million individuals worldwide, with protanopia and deuteranopia being the most common subtypes, causing red–green confusion. This study leverages machine ...
C&EN

Computer Vision-Assisted Data Analysis for Correlative Electron Microscopy and Secondary Ion Mass Spectrometry Imaging

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Correlative imaging is a powerful analytical approach in bioimaging, as it offers ...
IEEE

MUSCLE: A New Perspective to Multi-scale Fusion for Medical Image Classification based on the Theory of Evidence

Abstract: In the field of medical image analysis, medical image classification is one of the most fundamental and critical tasks. Current researches often rely on the off-the-shelf backbone networks ...