A monolithic Foundation Model compresses the knowledge of the entire network, including Core, RAN, Transport, and Billing, ...

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 ...

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 ...

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 ...

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 ...

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today. Large language ...

Ben Khalesi covers the intersection of artificial intelligence and everyday tech at Android Police. With a background in AI and data science, he enjoys making technical topics approachable for those ...