IEEE

RAG-Driven Memory Architectures in Conversational LLMs—A Literature Review With Insights Into Emerging Agriculture Data Sharing

Abstract: Despite significant advances in natural language processing, conversational AI systems face persistent challenges in maintaining extensive and contextually coherent dialogues, particularly ...
IEEE

Transforming Applied Behavior Analysis Therapy: An Internet of Things-Guided, Retrieval-Augmented Large Language Model Framework

Abstract: We propose ABA-RAG, a retrieval-augmented generation (RAG) framework specifically tailored for applied behavior analysis (ABA) interventions, which integrates real-time emotional and ...
Frontiers

A self-correcting Agentic Graph RAG for clinical decision support in hepatology

Introduction: Clinical decision-making in hepatology is currently challenged by the rapid expansion of medical knowledge and the limitations of Large Language Models (LLMs), specifically their ...
Morningstar

Mindbreeze Unveils the Five Defining AI Trends Shaping the Enterprise in 2026

From agentic intelligence to AI trust frameworks, Mindbreeze experts highlight the technologies transforming enterprise operations and decision-making Mindbreeze, a leading global provider of AI-based ...