New X-ray method captures 3 image-contrast types in a single shot

University of Houston researchers developed a new X-ray imaging method capable of revealing hidden features in a single shot, ...
TMCnet

WiMi Lays Out Scalable Quantum Convolutional Neural Network to Enhance Image Classification Accuracy and Efficiency

BEIJING, Sept. 15, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that ...
IEEE

Comparative Analysis of Custom Neural Network Model and VGG-16 for Multi-class Image Classification

Abstract: This study assesses the performance of CustomNet, a lightweight neural network model trained using NumPy and Pandas, compared to the VGG-16 architecture on the datasets of MNIST, Fashion ...
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OpenAI Releases gpt-image-1 Model via API for Developer Integration

OpenAI has made its gpt-image-1 image generation model available through its public API, giving software developers direct access to the same system that powers image creation in ChatGPT. The release ...
C&EN

QuantumBind-RBFE: Accurate Relative Binding Free Energy Calculations Using Neural Network Potentials

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c00033.
Frontiers

Enhancing multi-class neurodegenerative disease classification using deep learning and explainable local interpretable model-agnostic explanations

Introduction: Alzheimer's disease (AD) and Parkinson's disease (PD) are two of the most prevalent neurodegenerative disorders, necessitating accurate diagnostic approaches for early detection and ...
Frontiers

Early detection and classification of Alzheimer’s disease through data fusion of MRI and DTI images using the YOLOv11 neural network

Laboratory of Micro-Optoelectronics and Nanostructures (LR99/E929), Faculty of Sciences of Monastir, University of Monastir, Monastir, Tunisia Alzheimer’s disease (AD) is a progressive ...