Phase diagram map of ferroelectric properties unlocked with AI in seconds

Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...

Unlock AI Power Locally: Learn How to Create an Agent with LangGraph and Ollama

Learn how to build cost-effective AI agents locally with LangGraph and Ollama. Step-by-step guide using lightweight, free ...

Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
IEEE

Enhancing Graph Structure Learning via Motif-Driven Hypergraph Construction

Abstract: Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on ...
IEEE

Ensemble-Enhanced Semi-Supervised Learning With Optimized Graph Construction for High-Dimensional Data

Abstract: Graph-based methods have demonstrated exceptional performance in semi-supervised classification. However, existing graph-based methods typically construct either a predefined graph in the ...
GitHub

Machnata — Universal JSON Schema → Protobuf Generator → Portable Data Structures for All Major Languages

In short, this generator helps teams transform standard JSON Schemas into maintainable, language-agnostic data models, enabling consistent integration from embedded devices to cloud systems. This ...
Hosted on MSN

RIDOT: Washington Bridge weight data shows structure well within safe limits

RIDOT’s new weight monitoring system, described as a “heart monitor for a bridge,” is providing real-time data showing the Washington Bridge remains stable as it carries traffic in both directions.