How does machine learning improve navigation systems?
Machine learning enhances navigation by analyzing data to predict traffic patterns, optimize routes, and improve accuracy.
Can you give an example of how this works in real-time?
Sure! For instance, navigation apps like Google Maps use machine learning to analyze real-time traffic data and suggest the fastest routes.
What kind of data do these systems use?
They use data from GPS signals, traffic reports, user feedback, and historical traffic patterns to make informed decisions.
Are there any limitations to using machine learning in navigation?
Yes, limitations include data quality, reliance on user input, and challenges in predicting sudden changes like accidents.
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