TrustRAG is a configurable and modular Retrieval-Augmented Generation (RAG) framework designed to provide reliable input and trusted output, ensuring users can obtain high-quality and trustworthy ...
Abstract: Neuromorphic systems using memristors as artificial synapses have attracted widespread interest for low-power consumption and low-latency computing applications. However, networks based on ...
Abstract: In this paper, an expandable non-isolated multi-input single-output DC-DC high voltage gain converter with the capability of cancelling input current ripples is proposed, which can be ...