A collapsed Gibbs sampler for Latent Dirichlet Allocation that weights topic-word counts by inverse temporal density, so sparse historical periods contribute equally to learned topics despite having ...

We introduce LDA-1B, a robot foundation model that scales through universal embodied data ingestion by jointly learning dynamics, policy, and visual forecasting, assigning distinct roles to data of ...

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...

This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...

Abstract: Social network analysis is an important research area. Weibo and Toutiao are two important social media platforms in China. This study develops a combined method that innovatively makes the ...

Topic modelling refers to a popular set of techniques used to discover hidden topics that occur in a collection of documents. These topics can, for example, be used to categorize documents or label ...

The human microbiome consists of a community of microbes in varying abundances and is shown to be associated with many diseases. An important first step in many microbiome studies is to identify ...