Frontiers

Large Language Models for Knowledge-Intensive Domains: Methods, Systems, and Evaluation

The rapid emergence of Large Language Models (LLMs) and generative AI is reshaping how people and organizations access, synthesize, and apply knowledge.
IEEE

MGCR-Net:Multimodal Graph-Conditioned Vision-Language Reconstruction Network for Remote Sensing Change Detection

Abstract: With the advancement of remote sensing satellite technology and the rapid progress of deep learning, remote sensing change detection (RSCD) has become a key technique for regional monitoring ...

SAP boss Christian Klein has seen the AI future: What you say will be more important than what you type

Christian Klein, CEO of SAP, predicts the end of the keyboard as we enter the era of applied AI and voice commands.
IEEE

Ontology-Driven Semantic Interoperability Framework for Multi-Center Healthcare Big Data with Graph-Based Query Analysis

Abstract: This has led to several challenges in attaining semantic compatibility of the large multi-center health care data systems obtained across different systems. IVERSITY of representation of ...
GitHub

EEG-RAG: Production-Grade RAG System for EEG Research

EEG-RAG is an enterprise-ready Retrieval-Augmented Generation (RAG) system specifically designed for electroencephalography (EEG) research and clinical applications. Built with medical-grade quality ...
GitHub

Scriptable interface to a powerful, multi-lingual language server.

Write code that transforms code. Graph-sitter combines the parsing power of Tree-sitter with the graph algorithms of rustworkx to enable scriptable, multi-language code manipulation at scale.