From 56ad0caa9f6d1e1248749d66ec21b64f51cff293 Mon Sep 17 00:00:00 2001 From: mjkwiatkowski Date: Wed, 3 Jun 2026 14:48:59 +0200 Subject: feat: minor changes to few sections --- content/background.tex | 4 ++++ 1 file changed, 4 insertions(+) (limited to 'content') diff --git a/content/background.tex b/content/background.tex index fc1fce7..4218380 100644 --- a/content/background.tex +++ b/content/background.tex @@ -47,6 +47,10 @@ The digital twin is designed to provide extra datasets for training \gls{ai} mod DyTwin~\cite{DBLP:conf/sc/TaheriBPRHDEWPM24} is an adaptive digital twin with visualization and anomaly detection features. +% What is more, Microsoft already offers digital twinning as a service https://azure.microsoft.com/en-us/products/digital-twins/ +% Documentation: https://learn.microsoft.com/en-us/azure/digital-twins/ +% Moreover, NVIDIA is doing too as well https://www.nvidia.com/en-sg/omniverse/ + Predictive modelling uses statistics to predict outcomes. When deployed commercially, for example in datacenters, predictive modelling is often referred to as predictive analytics~\cite{Wikipedia:PredictiveModelling}. Almost any statistical model can be used for prediction purposes, but nowadays predictive analysis is synonymous with machine learning. -- cgit v1.2.3