Tech Xplore

Spintronic hardware unlocks faster, lower-energy optimization, outpacing tested quantum annealers

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...
IEEE

AdaRAG: Adaptive Optimization for Retrieval Augmented Generation with Multilevel Retrievers at the Edge

Abstract: Considering privacy concerns and real-time demands of popular large language models (LLMs), a shift towards edge-based LLM inference leverages edge clusters in proximity to provide low ...
IEEE

Deep Reinforcement Learning Model for Robust Travel Salesman Problem via Multiobjective Optimization Framework

Abstract: Deep Reinforcement Learning (DRL) has gained significant attention for its ability to solve combinatorial optimization problems, including the Traveling Salesman Problem (TSP). While ...