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Digital twins are virtual representations or models that mirror the characteristics, behavior, and performance of physical assets or processes. By combining real-time data from sensors, devices, and other sources with cutting-edge technologies like artificial intelligence and the Internet of Things, digital twins provide a bridge between the physical and digital worlds.
The Internet of Things (IoT) is a network of interconnected physical devices, vehicles, appliances, and other objects that are embedded with sensors, software, and connectivity capabilities. These devices can collect and exchange data, allowing them to communicate with each other and with users through the internet.
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Artificial Intelligence refers to the simulation of human intelligence in machines to enable them to perform tasks that typically require human intelligence. On the other hand, Machine Learning is a subset of AI that focuses on teaching machines to learn from data and improve their performance over time without being explicitly programmed.