Artificial Intelligence (AI) Online Test

1. Which limitation of Artificial Intelligence is related to the challenge of ensuring that Artificial Intelligence systems behave ethically and responsibly in their interactions with humans and society?

2. Which programming language is commonly associated with the Keras library?

3. Which programming language is commonly associated with the CNTK (Microsoft Cognitive Toolkit)?

4. Which AI application involves using algorithms to analyze market trends, customer preferences, and competitor activities to develop targeted marketing campaigns and strategies?

5. Which component is responsible for storing and retrieving data from long-term storage in a computer system?

6. What challenge arises from the need to address societal concerns such as job displacement or inequality resulting from AI adoption?

7. Which programming language is often used for developing deep learning models with the PyTorch framework?

8. Which approach in face recognition involves comparing the facial features of an individual against a database of known identities to determine a match?

9. What is one of the challenges in designing effective human-AI collaboration technology?

10. In fraud detection, what is the primary role of Artificial Intelligence techniques?

11. What is one advantage of using Python for deep learning development?

12. In service robots, which AI-based approach focuses on learning optimal behaviors for interacting with humans through imitation and practice?

13. In what way can the lack of diversity in training data affect the performance of AI models?

14. Which method in face recognition systems is used to quantify the similarity between facial feature vectors for verification or identification?

15. Which limitation of Artificial Intelligence is related to the challenge of ensuring that Artificial Intelligence systems' decisions are transparent and explainable?

16. Which popular instance segmentation algorithm extends the Faster R-CNN architecture to generate segmentation masks for each detected object?

17. What is the training process of a GAN often described as?

18. Which imaging modality in medical imaging diagnosis utilizes radioisotopes and gamma rays to produce images of physiological processes in the body?

19. In flying drones, which AI-based module is responsible for planning the drone's flight path and making decisions about route navigation?

20. Which Artificial Intelligence technique is commonly used in fraud detection to group similar transactions together based on their characteristics and detect outliers?

21. Which step in face recognition involves correcting for variations in pose, scale, and illumination to ensure accurate feature extraction?

22. Which Artificial Intelligence technique is commonly used in industrial automation to analyze historical data and identify patterns or trends that can inform decision-making?

23. What is the objective of the discriminator in a GAN?

24. What term refers to the use of AI techniques to optimize resource allocation, scheduling, and planning in project management and operations?

25. Which AI application involves using algorithms to understand and interpret human emotions, sentiments, and intentions expressed in text, speech, or images?

26. What role does NumPy play in implementing GANs with Python?

27. Which AI technique involves training models on unlabeled data to discover hidden patterns or structures, typically used in scenarios where labeled data is scarce or expensive to obtain?

28. What is one advantage of using Theano for deep learning development?

29. What term refers to the use of AI techniques to analyze supply chain data, optimize logistics operations, and enhance supply chain visibility and resilience?

30. Which aspect of AI systems can pose a limitation due to the requirement for substantial computational resources and energy consumption?