How can AI adapt to unexpected challenges?
AI adapts by learning from data, adjusting algorithms, and using feedback to improve its responses.
Can you give an example of AI adapting in real-time?
Sure! In autonomous vehicles, AI adjusts driving strategies based on changing road conditions or obstacles.
What are some limitations AI faces when adapting?
AI may struggle with ambiguous situations, lack of data, or when faced with novel scenarios it hasn't encountered before.
How does machine learning play a role in this adaptation?
Machine learning allows AI to analyze patterns in data, enabling it to make informed decisions and adapt to new challenges.
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