Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
An existing dysfunction on the patient side of Microsoft Teams provided the opportunity for an adversary with local access to replay session tokens. Microsoft has patched this. This article will ...
Abstract: Graph convolutional neural networks (GCNs) have demonstrated effectiveness in processing graph structure. Due to the diversity and complexity of real-world graph data, heterogeneous GCN have ...
Abstract: The anomaly detection in data links aims to identify the state of the link during data transmission, which is a critical task for ensuring information transmission security. Most anomaly ...
Tech firms are investing billions to build massive AI data centers across the U.S. From our morning news briefing to a weekly Good News Newsletter, get the best of The Week delivered directly to your ...
Representing the brain as a complex network typically involves approximations of both biological detail and network structure. Here, we discuss the sort of biological detail that may improve network ...