Descartes Expands AI Innovation on Global Logistics Network with AI Agents for Freight Visibility

Over 720,000 AI-powered driver engagements accelerate network expansion, connecting 435,000+ more drivers in just months to improve freight ...

AI is developing so fast it is becoming hard to measure, experts say

Results show AI is getting twice as good at the rate of about every seven months and experts say the trend is speeding up.

Harmonic Design Launches HDAnalytics: Privacy-First, Cookieless Analytics Built Natively for WordPress

HDAnalytics is a fast, cookieless WordPress analytics plugin delivering actionable insights, full GDPR/CCPA compliance, ...
IEEE

Remaining Useful Life Prediction of Bearings Based on Graph Isomorphism Network with Graph-in-Graph Framework

Abstract: The graph neural networks (GNNs) have drawn much attention for predicting the remaining useful life (RUL) due to their excellent performance in processing correlation relationship among data ...
GitHub

Microsoft Graph sample Node.js Express app

This sample demonstrates how to use the Microsoft Graph JavaScript SDK to access data in Office 365 from Node.js Express apps. NOTE: This sample was originally built from a tutorial published on the ...
IEEE

Dynamical Causal Graph Neural Network for EEG Emotion Recognition

Abstract: Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) ...
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 ...