Abstract: This article introduces an innovative distributed algorithm tailored for achieving predefined-time convergence in addressing time-varying resource allocation problem under directed networks.

Abstract: In this article, we consider the problem of privacy preservation in the average consensus problem when communication among nodes is quantized. More specifically, we consider a setting where ...

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

This book teaches you how to take machine learning models from your personal laptop to large distributed clusters. You’ll explore key concepts and patterns behind successful distributed machine ...

Bernie Sanders wants to nationalize half the stock of major AI companies and create a sovereign wealth fund for the American people. The case for going even further is stronger than most people ...

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

XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

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 ...

New Iterative Block Particle Filter algorithm makes genomic surveillance faster, cheaper and more scalable, improving early ...

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...

Two research teams have documented how algorithmic pay finds the minimum a worker will accept and the US is the market where ...