How can AI be used to optimize traffic flow and reduce congestion?
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How does AI contribute to reducing medical errors?
How can you ensure transparency and accountability in an AI system?
How does AI balance accuracy and efficiency in real-world use cases?
Explainable AI (XAI):
How does AI enhance customer service chatbots for improved user experience?
Explain the difference between supervised, unsupervised, and reinforcement learning.
Can you describe the importance of autonomous systems in AI for improved efficiency and productivity?
How would you evaluate the performance of an NLP model?
Can you explain how AI is used in personalized medicine for tailored treatment plans?
How do you deal with performance degradation of a model over time (model drift)?
How does Edge AI aid in reducing latency and improving responsiveness in IoT devices?
Why is it important to address bias in AI models?
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