What are some applications of parallel processing in AI?
Parallel processing in AI is used in various applications like deep learning, natural language processing, and image recognition.
Can you explain how it benefits deep learning specifically?
In deep learning, parallel processing allows for faster training of models by distributing computations across multiple processors.
What about its role in natural language processing?
In NLP, parallel processing helps in handling large datasets and speeding up tasks like translation and sentiment analysis.
Are there any challenges associated with parallel processing in AI?
Yes, challenges include managing data dependencies, ensuring load balancing, and dealing with synchronization issues.
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