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Discuss the differences between Bayesian Networks and Markov Models.
Describe the concept of attention mechanisms in neural networks.
Describe a challenging AI project you worked on. What were the key learnings?
How do you approach deployment of AI models?
Describe different approaches to text-to-speech (TTS) synthesis?
How can AI improve hospital resource management?
What challenges do researchers face in developing quantum AI systems?
Discuss the tension between accuracy and interpretability.
What are the biggest challenges you see in AI implementation across industries?
Can AI improve traffic management in smart cities?
What is quantum optimization?
How does AI aid in medical imaging analysis for disease diagnosis?
Explain the differences between model-based and model-free reinforcement learning.
How does the bias in training data affect the performance of AI models?
What is the significance of AI applications across industries?
