Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

ACRouter, a new open-source AI router, learns from execution feedback to pick the best coding model per task, cutting costs 2 ...

A routing number is a nine-digit code used to identify a financial institution in the United States. Banks use routing numbers to direct the exchange of funds to and from one another. You can ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Abstract: In-network aggregation (INA) has emerged as a key technology to alleviate communication bottlenecks in large-scale distributed training, but its performance is often hindered by suboptimal ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Your institution does not have access to this book on JSTOR. Try searching on JSTOR for other items related to this book. INTRODUCTION: Using an App to Go to Work—Uber as a Symbol of the New Economy ...

Your institution does not have access to this book on JSTOR. Try searching on JSTOR for other items related to this book. https://www.jstor.org/stable/j.ctt13x0hch.3 ...

Abstract: Large-scale low earth orbit (LEO) satellite networks are attracting significant attention for their vast potential in providing global Internet coverage and services. However, their inherent ...