RFID Journal

Hanshow, University of Cambridge Team Up to Advance Next-Generation Augmented RFID

Hanshow has launched a multi-year research partnership with the University of Cambridge to develop next-generation Augmented RFID systems powered by distributed hardware architectures. The ...
GitHub

ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation

Retrieval-Augmented Generation (RAG) models often suffer from reward sparsity and inefficient credit assignment when optimized with traditional outcome-based Reinforcement Learning (RL).
IEEE

When Knowledge Graph Meets Retrieval Augmented Generation for Wireless Networks: A Tutorial and Case Study

Abstract: This paper investigates a GraphRAG framework that integrates knowledge graphs into the Retrieval-Augmented Generation (RAG) architecture to enhance networking applications. While RAG has ...
iapp.org

LLMs with retrieval-augmented generation: Good or bad for privacy compliance?

Editor's note: The IAPP is policy neutral. We publish contributed opinion and analysis pieces to enable our members to hear a broad spectrum of views in our domains. Retrieval-augmented generation is ...
Rutland Herald

BEN and Skye Inteligencia Announce Formation of Skye Salud, a Sovereign Augmented-Intelligence Healthcare Platform for Mexico

WILMINGTON, Del. and MEXICO CITY, Dec. 8, 2025 /PRNewswire/ -- Brand Engagement Network, Inc. (Nasdaq: BNAI) ("BEN"), a developer of secure and governed multimodal AI systems for regulated industries, ...
marktechpost

A Coding Implementation for an Agentic AI Framework that Performs Literature Analysis, Hypothesis Generation, Experimental Planning, Simulation, and Scientific Reporting

In this tutorial, we build a complete scientific discovery agent step by step and experience how each component works together to form a coherent research workflow. We begin by loading our literature ...
ascopubs.org

RadOncRAG: A Novel Retrieval-Augmented Generation Framework Improves Large Language Model Benchmark Performance in Radiation Oncology

Large language models (LLMs) show promise in assisting knowledge-intensive fields such as oncology, where up-to-date information and multidisciplinary expertise are critical. Traditional LLMs risk ...
InfoQ

Reducing False Positives in Retrieval-Augmented Generation (RAG) Semantic Caching: a Banking Case Study

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...