Recent Trends in Artificial Intelligence(AI)

Sample question paper:

Short Answer Questions (2 marks each)

1. What are the futuristic issues in Artificial Intelligence?
2. Define AI architecture and list its main components.
3. Name any four popular AI development tools.
4. What are AI enabling technologies? Give two examples.
5. What is Knowledge Discovery in Databases (KDD)?
6. Mention two recent AI language models and their key features.
7. What is the purpose of AI in Computer Vision?
8. Define a Generative Adversarial Network (GAN).
9. List two AI applications in Smart Transportation.
10. What is Smart Grid Computing?

Descriptive / Analytical Questions (5 marks each)

11. Explain the futuristic applications of AI in healthcare, education, and autonomous systems.
12. Describe the AI system architecture with suitable diagram and components.
13. Compare and contrast TensorFlow, PyTorch, and Scikit-learn in terms of features and usage.
14. Discuss the role of IoT, Cloud Computing, and Big Data as enabling technologies for AI.
15. Explain how AI techniques (e.g. classification, clustering) are used in data mining and knowledge discovery.
16. Discuss the role of AI in IT operations and cybersecurity.
17. Explain the working and architecture of a GAN.
18. Describe how AI supports Smart Transportation and Vehicles in navigation, route optimization, and safety.
19. Explain the role of AI in Smart Grid Systems for energy optimization.
20. Compare BERT and GPT models in terms of architecture, training, and applications.

Application / Case Study Questions (10 marks each)

21. Case Study: Explain how AI-based Computer Vision is used in autonomous vehicles for object detection and decision-making.
22. Describe the applications of GANs in areas like deepfakes, data augmentation, and image generation.
23. Evaluate the role of AI in Smart Transportation systems to reduce congestion and improve public safety.
24. Explain how AI-driven Smart Grids support renewable energy management, predictive maintenance, and load forecasting.
25. Analyze how transformer-based models (BERT, GPT, T5) have revolutionized Natural Language Processing.

Research-Based (10 marks each)

37. “The convergence of AI with IoT, Cloud, and 5G will shape the future digital ecosystem.” Discuss.
38. Examine the ethical and societal challenges posed by Generative Adversarial Networks (GANs).
39. Discuss how AI-based Smart Grids can support sustainable energy management and climate change mitigation.
40. Write a detailed essay on Recent Advances in Language Models (BERT, GPT, LLaMA, Claude) and their societal impact.