By Qu Liu. The Miner School of Computer and Information Sciences is proud to announce a Dissertation Proposal by Qu Liu titled "Efficient and Adaptive Online Learning M ...

Vector quantization, stock dips & RAMageddon – the real story behind how a memory compression algorithm went viral ...

Today’s computers need safeguards against random energy fluctuations. Thermodynamic computers would put those fluctuations to ...

There are some obvious big picture issues that stand between us and useful quantum computing. Issues like whether we can make ...

RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...

Amid widespread anxiety related to complex admission rules, many parents and candidates preparing college applications after the national college entrance exam, or gaokao, are turning to artificial ...

Introduction: Optimal ventilation during pediatric laparoscopic surgery is a debated issue, as pneumoperitoneum impairs respiratory mechanics and may increase ventilator-induced lung injury. Aim: We ...

Does generative artificial intelligence (AI) reinforce or reduce productivity differences across workers? Existing evidence largely studies AI within firms and occupations, where organizational ...

Abstract: This article proposes online data-based reinforcement learning (RL) algorithm for adaptive output consensus control of heterogeneous multiagent systems (MASs) with unknown dynamics. First, ...

Abstract: In this work, we focus on solving non-smooth non-convex maximization problems in multi-group multicast transmission. By leveraging Karush-Kuhn-Tucker (KKT) optimality conditions, we ...