Abstract: Influence maximization is one of the important problems in network science, data mining, and social media analysis. It focuses on identifying the most influential individuals (or nodes) in a ...

The ruling was a setback for the artificial intelligence start-up in its battle with the Defense Department over the use of A.I. in warfare. By Mike Isaac Reporting from San Francisco A panel of ...

Abstract: Markov chain Monte Carlo (MCMC) methods are a cornerstone of Bayesian inference and stochastic simulation. The Metropolis-adjusted Langevin algorithm (MALA) is an MCMC method that relies on ...

A judge has blocked the Trump administration from labeling Anthropic a "supply chain risk" and cutting off all federal work with the artificial intelligence firm, an early win for Anthropic in its ...