In an everchanging, challenging landscape, sports betting companies have the opportunity to use marketing strategies in their ...

Abstract: Heterogeneous Graph Neural Networks (HGNNs) aim to embed rich structural and semantic information of heterogeneous graphs into low-dimensional node representations. While HGNNs extend the ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Frontiers in Neurorobotics has published a new paper by Xiaofei Han and Xin Dou introducing a next-generation artificial intelligence framework that combines graph neural networks and multimodal ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

With agentic AI, the database must evolve from a passive ledger to an active reasoning engine that informs, guides, and ...

Dewret was originally developed to support a real client open source need in photonics, and is spreading across our work in ...