Tech Xplore

Upsampling method sharpens AI vision with up to 16 times less GPU memory

From facial recognition on smartphones to humanoid robots, computer vision technology, which serves as the eyes of artificial ...
technologynetworks

Deep Learning in High-Content Screening Imaging

Deep learning high-content imaging is rapidly reshaping image-based screening in the modern laboratory environment. As high-content screening (HCS) generates increasingly large and complex datasets, ...
IEEE

Single Remote Sensing Image Super-Resolution via Convolutional Neural Network and Diffusion Model

Abstract: Recent diffusion generative model super-resolution (SR) methods have made great progress in remote sensing image quality enhancement. However, the representation learning capability of ...
IEEE

High-Resolution Image Reconstruction Using Convolutional Neural Network-Based Deep Learning Models

Abstract: This paper presents an optimized lightweight Super-Resolution Convolutional Neural Network (SRCNN) capable of reconstructing high-quality images with strong fidelity. The proposed framework ...
Frontiers

Deep learning and high-resolution magnetic resonance vascular wall imaging: current challenges and future perspectives

High-resolution magnetic resonance vessel wall imaging (HR-VWI) is an advanced MR imaging technique that can directly visualize intracranial vessel walls and detect subtle pathological changes. HR-VWI ...
Nature

Image super-resolution method using a generative adversarial network incorporating attention and residual density

Propose a novel and effective image super-resolution method that overcomes the shortcomings of existing methods and improves image super-resolution quality. Multi-level feature fusion adopts the ...
Nature

A general lightweight image super-resolution with sharpening enhancement and double attention network

In recent years, single image super-resolution (SISR) based on deep learning has achieved excellent results. However, the consequent elevated computational and storage expenses limit its ...
Frontiers

A vision-based drowsiness detection system for railway operators using lightweight convolutional neural networks

This research addresses the challenge of monitoring railway driver drowsiness using a real-time, vision-based system powered by convolutional neural networks, specifically the YOLOv8 architecture ...
The New York Times

How Trump Is Using Fake Imagery to Attack Enemies and Rouse Supporters

The era of A.I. propaganda is here — and President Trump is an enthusiastic participant. After nationwide protests this weekend against Mr. Trump’s administration, the president posted an ...
Nerdbot

Top 10 Best AI Image Upscalers for eCommerce 2025 SellerPic

Poor product images kill sales faster than high shipping costs. In 2025, 93% of consumers consider visual appearance the key deciding factor in purchasing decisions. Low-resolution product photos ...
PNAS

Descattering and image restoration with a transformer-based neural network in deep tissue imaging

The significant contributions of this work are threefold. First, it leverages deep learning to extend in vivo imaging depth of two-photon excitation fluorescence microscopy, far beyond the depths ...