What is real-time processing in AI?
Real-time processing in AI refers to the ability to analyze and respond to data instantly as it is received.
Can you give me examples of real-time processing applications?
Sure! Examples include autonomous vehicles, fraud detection systems, and real-time language translation.
What technologies enable real-time processing?
Technologies like edge computing, fast data streaming, and machine learning algorithms are key enablers.
What are the challenges of implementing real-time processing?
Challenges include data latency, system integration, and ensuring data accuracy under time constraints.
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