New AI uncovers hidden patterns in biomedical knowledge graphs

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

10 things I learned from burning myself out with AI coding agents

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...
United States Army

US Army Command and General Staff College leads AI-integration in professional military education

U.S. Army CGSC Command & General Staff Officer Course recently tested with positive results a student-instructor designed ...
IEEE

Transformer and Graph Neural Network-Based Federated Learning for Cellular Traffic Prediction With Sustainability Analysis

Abstract: Mobile network traffic prediction is critical for efficient network management in 5G and future 6G systems. Federated Learning (FL) enables multiple base stations (BSs) to collaboratively ...
GitHub

zgsm-ai/codebase-indexer

codebase-indexer is the context module of ZGSM (ZhuGe Smart Mind) AI Programming Assistant which running on client. It provides powerful codebase indexing capabilities to support code call graph ...
IEEE

Multimodal Feature Fusion Against Poisoning Attacks in Federated Graph Learning

Abstract: Recently, Federated Graph Learning (FedGL) has been widely used in personalized healthcare recommendations due to its strong privacy protection and collaborative learning across entities.