Tech Xplore

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

New AI uncovers hidden patterns in biomedical knowledge graphs

A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...
IEEE

Constraints and Variables Reduction for Optimal Power Flow Using Hierarchical Graph Neural Networks with Virtual Node-Splitting

Abstract: Power system networks are often modeled as homogeneous graphs, which limits the ability of graph neural network (GNN) to capture individual generator features at the same nodes. By ...
IEEE

FedSGProx: Mitigating Data Heterogeneity and Isolated Nodes in Graph Federated Learning

Abstract: Graphs capture complex node interactions and are a fundamental tool for machine learning. Graph Federated Learning (GFL) is a method that allows multiple clients to collaboratively train a ...

Self-learning AI generates NFL picks, exact score predictions for every 2026 divisional round matchup

SportsLine AI evaluated the 2026 divisional round NFL odds and revealed its NFL score predictions and best NFL picks ...