Artificial Intelligence Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

Artificial Intelligence Interview Questions

Questions Answers Views Company eMail

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

Can you describe an example of how Explainable AI is used in healthcare for medical diagnosis?

Can you explain the concept of quantum machine learning and its applications?

How does Quantum AI aid in optimization problems for improved efficiency?

Can you describe an example of how Quantum AI is used in chemistry for molecular simulation?

What are some potential applications of Quantum AI in cryptography for secure communication?

Can you explain the concept of quantum parallelism and its implications for AI?

Can you describe the importance of Edge AI for real-time processing and decision-making?

How does Edge AI aid in reducing latency and improving responsiveness in IoT devices?

Can you explain the concept of edge computing and its relationship to Edge AI?

What are some potential applications of Edge AI in smart homes and cities for improved automation?

Can you describe an example of how Edge AI is used in industrial automation for predictive maintenance?

Can you explain the concept of brain-inspired AI architectures and their applications?

How does Neuromorphic Computing aid in developing more efficient and adaptive AI systems?

Can you describe an example of how Neuromorphic Computing is used in robotics for improved control and navigation?

Un-Answered Questions { Artificial Intelligence }

Are expected value and mean value different?

431

What considerations are involved in processing for inference in LLMs?

631

What frameworks or guidelines have you used to address ethical issues in AI projects?

What are components of robotics?

961

What does the future hold for data scientists?

348

What is NPC AI, and how does it enhance gameplay?

Explain the difference between bayesian estimate and maximum likelihood estimation (mle)?

333

What is the advantage of performing dimensionality reduction before fitting an svm?

305

How artificial neural networks can be applied in future?

1154

What are partial, alternate, artificial, compound and natural key?

918

How can LLMs be categorized?

What is cluster sampling in data science?

367

How do you approach the development of AI with ethical considerations in mind?

912

How does SHAP (Shapley Additive Explanations) contribute to explainability?

What are an eigenvalue and eigenvector?

318

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