What are the challenges of parallel communication in AI?
Parallel communication in AI can lead to issues like data inconsistency, synchronization problems, and increased complexity.
Can you explain data inconsistency in more detail?
Data inconsistency occurs when multiple processes access and modify shared data simultaneously, leading to conflicting updates.
How can synchronization problems be resolved?
Synchronization problems can be resolved using techniques like locks, semaphores, or message passing to ensure orderly access.
What are some examples of increased complexity?
Increased complexity can arise from managing multiple threads, ensuring communication protocols, and debugging concurrent processes.
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