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

AI Applications Interview Questions

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What are some open problems you find interesting?

What are some of the major challenges facing AI research today?

Explain the principles behind Genetic Algorithms and how they can be used for AI optimization.

Explain how transformers work.

How do you approach deployment of AI models?

How would you go about finding the best model for a given task?

How can quantum AI help solve problems that are difficult for classical AI?

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

Explain the concept of clustering.

Why is it beneficial to run AI models on edge devices (IoT)?

What are the pros and cons of using cloud-based versus on-premise solutions for AI?

How do autoencoders work, and what are their applications?

What are your favorite data visualization tools?

Discuss how AI could help with conservation efforts.

How do you collaborate with other team members on AI projects?

Un-Answered Questions { AI Applications }

How does AI enhance procedural content generation and NPC AI in gaming?

How does AI contribute to drug discovery?

What challenges arise when implementing AI in finance?

Explain the concept of SHAP and its role in XAI.

What is the relationship between transparency and accountability in AI?

What is predictive maintenance, and how is AI used in transportation?

What challenges arise in making AI systems user-friendly?

How does Explainable AI enhance transparency and trust in AI decision-making?

What ethical considerations should be taken into account when applying AI in healthcare?

How does generative AI impact creative industries?

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

What research methodologies do you favor?

What ethical concerns arise with the use of AI in education?

What are the benefits of AI in legal research?

How is AI applied in portfolio management?

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