A team of scientists has unveiled a groundbreaking new AI-assisted digital twin model that can not only replicate real-world machines but also control and adapt to them in real-time. This innovative concept, described in a study published in the journal IEEE Access, has the potential to revolutionize how smart cities and autonomous systems operate in the future.
The new approach, termed Intelligent Acting Digital Twins (IADT), allows digital twins—digital replicas of physical objects or machines—to go beyond mere simulations. Traditionally, digital twins serve as real-time representations of physical entities, constantly updated with data to monitor their state. These models are widely used in industries like manufacturing, healthcare, and defense, where they help engineers visualize, assess, and predict the behavior of physical machines.
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