Opinion: AI assets should be treated as operationally material technology that requires validation before closing any merger.
With the rapid expansion of the new energy vehicle (NEV) market, charging and battery swapping have emerged as the two ...
"- the first document belongs to 4th topic. \n", "- the second document belongs to 4th topic. \n", "- the third document belongs to 6th topic. \n", ...
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 ...
Abstract: The rapid growth of IoT technologies has elevated edge computing among distributed computing models, necessitating a thorough innovation analysis. In this paper, we conduct a systematic ...
A research team co-led by scientists at the Netherlands Cancer Institute (NKI) and Oncode Institute has developed a deep learning model, PARM (promoter activity regulatory model) that offers up new ...
Abstract: This project aims to use Topic Modeling on Customer Feedback from an Online Ticketing System using Latent Dirichlet Allocation and BERTopic. The experiment started with analysis of the ...
Typically, bone marrow research relies heavily on animal models and oversimplified cell cultures in the laboratory. Now, researchers from the Department of Biomedicine at the University of Basel and ...
The study "AI Companionship or Digital Entrapment? Investigating the Impact of Anthropomorphic AI-Based Chatbots" by Jean-Loup Richet of IAE Paris–Sorbonne, Université Paris 1 Panthéon-Sorbonne, in ...
Meet the new DeepSeek, now with more government compliance. According to a report from Reuters, the popular large language model developed in China has a new version called DeepSeek-R1-Safe, ...