A monolithic Foundation Model compresses the knowledge of the entire network, including Core, RAN, Transport, and Billing, into a single, high-dimensional latent space. The problem is that networks ...

Thanks to the popularity and widespread success of ChatGPT, most IT users are familiar with the concept of a large language model (LLM). But how does an LLM apply to network operations? Network and ...

The platform’s open approach is designed around efficiency, security and accessibility—and to catalyze AI's development.

Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. As artificial intelligence becomes ...

While Granger causality (GC) has been often employed in network neuroscience, most GC applications are based on linear multivariate auto-regressive (MVAR) models. However, real-life systems like ...

Scandinavian Journal of Statistics, Vol. 44, No. 3 (September 2017), pp. 666-683 (18 pages) Models of infectious disease over contact networks offer a versatile means of capturing heterogeneity in ...

A research team from the International Research Institute for Artificial Intelligence at Harbin Institute of Technology, ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...