Giuseppe Garcea and Faisal Kamran joined Imaging & Machine Vision Europe's online panel discussion on 'Embracing edge computing for image processing' (Image: Axelera AI / Sony) Join 10,000+ vision ...

Researchers have used the centuries-old idea of pinhole imaging to create a high-performance mid-infrared imaging system ...

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

Have you ever listened to one piece of advice that stuck with you so much it changed the way you experience and analyze your running? It’s a powerful thing. That’s what happened when I learned a ...

Meta is partnering with Midjourney to license the startup’s AI image and video generation technology, Meta Chief AI Officer Alexandr Wang announced Friday in a post on Threads. Wang says Meta’s ...

Abstract: This paper presents a field-programmable gate array (FPGA) based medical image processing framework using a hardware-software co-design approach for biomedical tasks such as Malaria and ...

Visual Intelligence is one of the few AI-powered feature of iOS 18 that we regularly make use of. Just hold down the Camera button on your iPhone 16 (or trigger it with Control Center on an iPhone 15 ...

Abstract: Image segmentation is an important technology for image processing. Many segmentation methods have been brought forward for image segmentation, among these methods thresholding is the ...

The final, formatted version of the article will be published soon. In occupational epidemiology, accurately quantifying exposure-response relationships is crucial.We introduce a threshold Cox model ...