Medical Device and Diagnostic Industry (MD+DI)

The AI Era: How Deep Learning is Overcoming Data Scarcity in Medical Imaging

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
Fast Company

Perplexity AI sued by CNN for allegedly copying over 17,000 pieces of content without permission

CNN has sued Perplexity, accusing the AI company of unlawfully using the news network’s copyrighted content without permission. The lawsuit, filed on Thursday, claims that Perplexity copied over ...
GitHub

Exploring Adversarial Robustness of Lightweight Image Classifiers

This repository contains the implementation, experiments, and reproducibility materials for a deep learning project on adversarial robustness in image classification. The project studies how ...
MacRumors

OpenAI Codex Update Adds Computer Use, Image Generation, and Memory on Mac

OpenAI is making several updates to its Codex AI coding agent. Codex is now able to operate desktop Mac apps with its own cursor, seeing what's on the screen, clicking, and typing to complete tasks.
CNN

New Artemis II moon image includes part of the moon never before observed by human eyes

Awe-inspiring new photos captured by the Artemis II astronauts showcase the moon and the interior of the Orion spacecraft, offering a glimpse into their lives in space as they close in on another ...
CNN

Astronomers capture the most detailed image yet of our galaxy’s center

Scientists have captured the most complete, high-resolution map of the cold gas at the center of the Milky Way, which contains the raw material from which stars and planets are made. Information from ...
IEEE

A CNN network for coronary chronic total occlusion state classification using image data

Abstract: Chronic total occlusion (CTO) is a critical determinant of treatment efficacy in coronary artery disease, but its accurate diagnosis remains heavily reliant on the expertise of experienced ...
Nature

ResNet18-ThunderSVM: Hybrid intelligence for handwritten digit recognition by fusing deep spatial features and high-performance classification

This study addresses the efficiency and feature extraction constraints of high-performance Support Vector Machine (SVM) implementations, specifically ThunderSVM, in handling large-scale image datasets ...
Scientific Research Publishing

Efficiency of Classification Algorithms in Monitoring Land Use through Remote Sensing in Sissili Province of Burkina Faso ()

Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...
Pew Research Center

Seeking research using recent Pew-Templeton Global Religious Futures datasets

To encourage reuse of our data, Pew Research Center, with support from the John Templeton Foundation, invites researchers to submit proposals for new research publications that use one or more of the ...
Nature

A Comprehensive Hyperspectral Image Dataset for Forest Fire Detection and Classification

In this paper we introduce a new large-scale hyperspectral satellite image dataset named OHID-FF, specifically designed for forest fire detection and classification tasks. The OHID-FF dataset ...