What are the applications of parallel processing in AI?
Parallel processing in AI is used for tasks like training deep learning models, data analysis, and real-time processing.
Can you explain how it improves deep learning model training?
It allows multiple computations to occur simultaneously, significantly reducing the time needed to train complex models.
What are some specific examples of AI systems that use parallel processing?
Examples include image recognition systems, natural language processing models, and autonomous vehicles.
Are there any challenges associated with parallel processing in AI?
Yes, challenges include managing data dependencies, ensuring efficient resource allocation, and debugging parallel systems.
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