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 ...

What if your AI agent could not only answer your questions but also truly understand them, navigating complex queries with precision and speed? While the rise of vector search has transformed how AI ...

As a world leader in connected LED lighting products, systems, and services, Signify (formerly Philips Lighting) serves not only everyday consumers but also a large number of professional users who ...

Introduction: The increasing adoption of large language models (LLMs) in public health has raised significant concerns about hallucinations-factually inaccurate or misleading outputs that can ...

What if the programming language you rely on most is on the brink of a transformation? For millions of developers worldwide, Python is not just a tool, it’s a cornerstone of their craft, powering ...

Abstract: This paper introduces Dual Federated Retrieval-Augmented Generation (DF-RAG), a framework addressing privacy, interpretability, and reliability challenges in AI-driven healthcare. Large ...

In enterprise environments, traditional generative AI models often fall short due to their limited context, inability to effectively and securely access proprietary data, and a lack of traceability.