In a head-to-head trial, telemedicine-based neurologist assessments in mobile stroke units is safer and more ...

An innovative new method developed by a Monash University-led research team aims to help conservationists identify more ...

Successful AI agents require enterprises to orchestrate interactions, manage shared knowledge and plan for failure.

If a model only focuses on fine-grained classification, it gives up before it even starts on images that don't have enough information to support that level of detail," said Stella Yu, a professor of ...

OpenAI has released its GPT‑3.5 Turbo API to developers as of Monday, bringing back to life the base model that powered the ChatGPT chatbot that took the world by storm in 2022. It will now be ...

As a consequence, these data are a challenge for traditional statistical approaches. We demonstrate that hierarchical Bayesian methods are well suited to these data by presenting a ‘standard’ ...

Abstract: Topic modeling is a commonly used text analysis tool for discovering latent topics in a text corpus. However, while topics in a text corpus often exhibit a hierarchical structure (e.g., ...

Abstract: In order to solve the reactive power optimization with joint transmission and distribution networks, a hierarchical modeling method is proposed in this paper. It allows the reactive power ...