AI summaryⓘ
The authors explain that digital twins are becoming smarter and can learn on their own by connecting computer models, data, and human input. To make them work well in different industries, they need to be able to communicate easily and follow shared rules. The authors also say that adding artificial intelligence and better computer thinking will help digital twins become more useful.
digital twinsinteroperabilitystandardizationartificial intelligencecomputational reasoningmodelsdata integrationautonomous systems
Authors
Omer San, Adil Rasheed, Eda Bozdemir, Jun Deng
Abstract
Digital twins are evolving into self-learning, autonomous systems that link models, data, and human interaction. Realizing their full potential depends on interoperability, standardization, and the integration of artificial intelligence and advanced computational reasoning across sectors.