North Korean job scammers target JavaScript and Python developers with fake interview tasks spreading malware

Operation Dream Job is evolving once again, and now comes through malicious dependencies on bare-bones projects.
EurekAlert!

PolyU develops novel AI graph neural network models to unravel interdisciplinary complexities in image recognition and neuroscience

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

North Korean GraphAlgo campaign uses fake job tests to spread malware scam

The post North Korean Graphalgo Campaign Uses Fake Job Tests to Spread Malware Scam appeared first on Android Headlines.
Phys.org

Graphene sealing enables first atomic images of monolayer transition metal diiodides

Two-dimensional (2D) materials promise revolutionary advances in electronics and photonics, but many of the most interesting candidates degrade within seconds of air exposure, making them nearly ...
GitHub

IP-XACT Dependency Graph Tracker

IP-XACT Dependency Graph Tracker A Python-based dependency graph and mapping validation system for ASIC design flows that use IP-XACT (IEEE 1685) as the source of truth for component packaging, port ...
IEEE

Joint Attribute Graph Reasoning and Aggregation for Composed Image Retrieval

Abstract: Given a multimodal query consisting of a reference image and a modification text pair, composed image retrieval (CIR) aims to locate a target image of interest in a large corpus. Recent CIR ...
IEEE

Cross-Cycle Structured Graph Autoencoder for Unsupervised Cross-Sensor Image Change Detection

Abstract: Unsupervised cross-sensor change detection (CSCD) is a significant yet challenging task in remote sensing, primarily due to substantial domain shifts across heterogeneous images and the ...