AI in Computer-Aided Synthesis Planning Market reached USD 2.13 bn in 2024 and is expected to grow rapidly to USD 68.06 bn by ...

This valuable study uses EEG and computational modeling to investigate hemispheric oscillatory asymmetries in unilateral spatial neglect. The work benefits from rare patient data and a careful ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

Evaluating the advantages and potential drawbacks of shielding as a method for safe RL. Bettina Könighofer is an assistant ...

Abstract: Graph Neural Networks (GNNs) are widely used across fields, with inductive learning replacing transductive learning as the mainstream training paradigm due to its superior memory efficiency, ...

Abstract: In this paper, we propose a robust end-to-end classification model, Graph-in-Graph Neural Network (GIGNet), for automatic modulation recognition (AMR). In GIGNet, multi-level graph neural ...

Department of Chemistry, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea Center for Quantum Technology, Korea Institute of Science and Technology (KIST), Seoul ...

A spike in suspicious scans targeting Palo Alto Networks login portals indicates clear reconnaissance efforts from suspicious IP addresses, researchers warn. Cybersecurity intelligence company ...