Abstract: Relational machine learning studies methods for the statistical analysis of relational, or graph-structured, data. In this paper, we provide a review of how such statistical models can be ...

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 ...

Abstract: The condition of a machine can automatically be identified by creating and classifying features that summarize characteristics of measured signals. Currently, experts, in their respective ...

The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...

The Decision & Action Layer translates fused predictions into concrete actions. The Decision Engine performs inference, ...

Open-Source AI Tools while not widely publicized, are highly regarded within the developer community for their ability to simplify complex tasks ...

The Electronic Privacy Information Center has long advocated for algorithmic transparency in scoring and screening systems, ...

On June 12, artificial intelligence (AI) lab Anthropic suspended access to its latest Claude models, Fable 5 and Mythos 5, which had been released three days earlier. The move came in response to an ...

Scientists have fully decoded a 2,000-year-old carbonized Roman scroll without opening it, revealing lost philosophical ...

Researchers identify fabrication constraints, reinforcement integration, sensing, and quality control as key factors in ...