Convergence
Convergence in AI refers to the process by which machine learning and deep learning models attain a stable state through iterative learning, ensuring accurate predictions by minimizing the difference between predicted and actual outcomes. It is foundational for the effectiveness and reliability of AI across various applications, from autonomous vehicles to smart cities.
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