Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract ...

Abstract: Efficient workflow mapping and scheduling in heterogeneous HPC-Compute Continuum (HPC-CC) systems is critical for multi-objective optimization like optimizing resource utilization and ...

New research published in Scientific Reports provides evidence that the path from genetic predisposition to general ...

Edge AI SoCs play an essential role by offering development tools that bridge the gap between AI developers and firmware ...

Abstract: Automatic Modulation Recognition (AMR) is an essential part of Intelligent Transportation System (ITS) dynamic spectrum allocation. However, current deep learning-based AMR (DL-AMR) methods ...

A new study from the University at Albany shows that artificial intelligence systems may organize information in far more ...