Diffractive networks enable optical information transfer through random and unknown diffusers

The transmission of optical information through random scattering media is a major challenge in optics, biomedical imaging, ...
Tech Xplore

Reliably detecting and clearly explaining deepfake images

Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...
Purdue University

Purdue engineers test, validate novel method to improve pharmaceutical R&D

A patent-pending innovation created and validated in Purdue University’s College of Engineering could strengthen ...

Measuring for gas: computer vision will "see" impending storms and turbulence

A neural network image analysis method will help track the movement of microparticles in the Earth's atmosphere and space.
IEEE

Hybrid ResNet-ViT Transfer Learning Approach for Brain Stroke Classification on Computed Tomography Images

Abstract: This study investigates the utilization of a hybrid Convolutional Neural Network (CNN) and Vision Transformer (ViT) model, employing transfer learning methods, to enhance brain stroke ...
Scientific Research Publishing

Deep Learning-Based Multi-Class Classification of Retinal Diseases from OCT Images Using Transfer Learning ()

1 Amazon Web Services, Seattle, USA. 2 Rajiv Gandhi University of Knowledge Technologies, Nuzvid, India. Optical Coherence Tomography (OCT) is a non-invasive imaging modality widely employed for ...
inforum

Besides Koi Perich, who’s leaving Gophers via the transfer portal?

The Minnesota Gophers football team has had 21 total players from its 2025 roster announce their intent to enter the transfer portal, which opened on Friday. There is one clear headliner — All-Big Ten ...
GitHub

Azure AutoML for Images - Image Classification

This repository contains Python notebooks demonstrating image classification using Azure AutoML for Images. These notebooks provide practical examples of building computer vision models for various ...
Frontiers

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

The acquisition sites include: CALTECH, California Institute of Technology; CMU, Carnegie Mellon University; KKI, Kennedy Krieger Institute; LEUVEN, University of Leuven; MAX, Ludwig Maximilians ...
Frontiers

Automated classification of MESSENGER plasma observations via unsupervised transfer learning

Our methodology demonstrates a proof of concept of the applicability of transfer learning for heliophysics, a machine learning technique where knowledge learned from one task is reused to perform a ...