Stearns and Poletti present a technically impressive study that aims to uncover a deeper understanding of microsaccade function: their role in perceptual modulation and the associated temporal ...

Have you ever seen a hibiscus flower? Although its petals have a range of colors, what makes the trumpet-shaped flower more ...

Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree ...

For customers who must run high-performance AI workloads cost-effectively at scale, neoclouds provide a truly purpose-built solution.

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

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in image-related tasks. These systems have found applications in medical diagnosis, ...

The field of optical image processing is undergoing a transformation driven by the rapid development of vision-language models (VLMs). A new review article published in iOptics details how these ...

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 ...

Consider all the activities in metal fabrication that require visual inspection and counting. A person inspects a blank for distortion and edge defects and, if needed, sends it to a deburring machine ...

Abstract: Image data augmentation is a crucial technique in the field of computer vision. Due to the difficulty of acquiring image datasets in certain domains, this technology holds significant ...