AI Applications Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

AI Applications Interview Questions

Questions Answers Views Company eMail

Can you explain the concept of conversational AI and its applications in chatbots and virtual assistants?

What are some potential applications of human-AI interaction in education for improved learning outcomes?

What are the differences between batch gradient descent, stochastic gradient descent, and mini-batch gradient descent?

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What are some applications of AI in smart agriculture?

What background is necessary to understand and work with quantum AI?

How would you test a machine learning system in production?

How can AI be used to improve energy efficiency?

What are some common applications of chatbots and virtual assistants?

What are the data challenges when using AI to solve environmental problems?

What is the future of human-AI interaction?

Describe AI's role in drug discovery.

Discuss the tension between accuracy and interpretability.

How would you improve AI education programs?

What are the different methods of unsupervised learning?

What are some potential challenges of neuromorphic computing?

Un-Answered Questions { AI Applications }

How do you handle missing or dirty data?

Can you describe an example of how autonomous systems are used in industrial automation for improved manufacturing?

How can AI help financial institutions with stock price prediction?

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What is the importance of explainability in safety-critical AI systems?

Explain the concept of SHAP and its role in XAI.

How can AI be used to optimize traffic flow and reduce congestion?

What are Spiking Neural Networks (SNNs)?

Discuss the different types of generative adversarial networks (GANs) and how they work.

Design an algorithm to recommend movies to users.

How does AI improve anti-money laundering (AML) systems?

How can AI help automate cybersecurity tasks?

How does AI improve surgical outcomes?

Explain the difference between supervised, unsupervised, and reinforcement learning.

What are generative models in AI?

Can you explain the concept of spiking neural networks and their implications for AI?

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